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  • Peyrache_dataset.ipynb
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  • directory
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swh:1:dir:5d417190ed5e37a250e1edef8314fc8199f60268

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Generating citation ...
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Generating citation ...
Peyrache_dataset.ipynb
{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "a1dff225",
   "metadata": {},
   "source": [
    "# Peyrache et al (2015) Dataset Tutorial \n",
    "\n",
    "*Author: Dhruv Mehrotra*\n",
    "\n",
    "\n",
    "This notebook demonstrates how we use Pynapple on various publicly available datasets in systems neuroscience to streamline analysis. In this notebook, we will examine the dataset from Peyrache et al (2015), which was used to generate Figure 4a in the publication. \n",
    "\n",
    "The NWB file for the example used here is provided in this repository. The entire dataset can be downloaded  <a href=\"https://crcns.org/data-sets/thalamus/th-1\" target=\"_blank\">here</a>. \n",
    "\n",
    "See the <a href=\"https://peyrachelab.github.io/pynapple/#installation\" target=\"_blank\">documentation</a> of Pynapple for instructions on installing the package.\n",
    "\n",
    "First, import the necessary libraries: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "5f9cdb3c",
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "import pandas as pd\n",
    "import pynapple as nap\n",
    "import scipy.ndimage"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9e431ad3",
   "metadata": {},
   "source": [
    "***\n",
    "\n",
    "## Step-by-step tutorial\n",
    "\n",
    "### Head-direction Tuning Curves\n",
    "\n",
    "The first step is to load the data and other relevant variables of interest"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "0a3e39db",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'adn':   Index    Freq. (Hz)    group  location\n",
       " -------  ------------  -------  ----------\n",
       "       4          0.3         2  adn\n",
       "       5          0.87        2  adn\n",
       "       6          0.36        2  adn\n",
       "       7         10.52        2  adn\n",
       "       8          2.62        2  adn\n",
       "       9          2.56        2  adn\n",
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       "      31          0.59        4  adn\n",
       "      32          1.13        4  adn\n",
       "      33          5.26        4  adn\n",
       "      34          1.57        4  adn,\n",
       " 'thalamus':   Index    Freq. (Hz)    group  location\n",
       " -------  ------------  -------  ----------\n",
       "       0          2.97        1  thalamus\n",
       "       1          2.43        1  thalamus\n",
       "       2          5.93        1  thalamus\n",
       "       3          5.04        1  thalamus\n",
       "      35          4.75        5  thalamus\n",
       "      36          1.31        5  thalamus\n",
       "      37          0.77        5  thalamus\n",
       "      38          2.02        5  thalamus\n",
       "      39         27.21        5  thalamus\n",
       "      40          7.28        5  thalamus\n",
       "      41          0.88        5  thalamus\n",
       "      42          1.02        5  thalamus\n",
       "      43          6.85        6  thalamus\n",
       "      44          0.94        6  thalamus\n",
       "      45          0.56        6  thalamus\n",
       "      46          1.15        6  thalamus\n",
       "      47          0.46        6  thalamus\n",
       "      48          0.19        7  thalamus}"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data_directory = '/media/DataDhruv/Recordings/Mouse32/Mouse32-140822' #Path to your data \n",
    "\n",
    "data = nap.load_session(data_directory, 'neurosuite') #Load the NWB file for this dataset\n",
    "spikes = data.spikes #Get spike timings\n",
    "epochs = data.epochs #Get the behavioural epochs (in this case, sleep and wakefulness)\n",
    "position = data.position #Get the tracked position of the animal\n",
    "spikes_by_location = spikes.getby_category('location') #Tells you which cells come from which brain region\n",
    "\n",
    "#What does this look like ? \n",
    "spikes_by_location\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7b4ae0f4",
   "metadata": {},
   "source": [
    "Here, index refers to the cluster number, Freq. (Hz) is the mean firing rate of the unit. Group refers to the shank number on which the cell was located, and location indicates the brain region the unit was recorded from.\n",
    "\n",
    "This dataset contains units recorded from the anterior thalamus. Head-direction (HD) cells are found in the anterodorsal nucleus of the thalamus (henceforth referred to as ADn). Units were also recorded from nearby thalamic nuclei in this animal. For the purposes of our tutorial, we are interested in the units recorded in ADn. We can restrict ourselves to analysis of these units rather easily, using Pynapple."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f0e7ac0e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "  Index    Freq. (Hz)    group  location\n",
       "-------  ------------  -------  ----------\n",
       "      4          0.3         2  adn\n",
       "      5          0.87        2  adn\n",
       "      6          0.36        2  adn\n",
       "      7         10.52        2  adn\n",
       "      8          2.62        2  adn\n",
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       "     26          4.02        3  adn\n",
       "     27          0.69        3  adn\n",
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       "     29          4.23        4  adn\n",
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       "     33          5.26        4  adn\n",
       "     34          1.57        4  adn"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spikes_adn = spikes_by_location['adn'] #Select only those units that are in ADn\n",
    "\n",
    "#What does this look like ? \n",
    "spikes_adn"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "78a8868f",
   "metadata": {},
   "source": [
    "Let's compute some head-direction tuning curves. To do this in Pynapple, all you need is a single line of code!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "5600fe65",
   "metadata": {},
   "outputs": [
    {
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       "      <td>9.660985</td>\n",
       "      <td>0.134648</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.016831</td>\n",
       "      <td>0.892042</td>\n",
       "      <td>1.195000</td>\n",
       "      <td>0.117817</td>\n",
       "      <td>2.743450</td>\n",
       "      <td>0.959366</td>\n",
       "      <td>1.969225</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.330859</th>\n",
       "      <td>0.716043</td>\n",
       "      <td>0.100246</td>\n",
       "      <td>0.472589</td>\n",
       "      <td>11.900642</td>\n",
       "      <td>0.801969</td>\n",
       "      <td>7.375247</td>\n",
       "      <td>1.074065</td>\n",
       "      <td>0.486910</td>\n",
       "      <td>12.187059</td>\n",
       "      <td>0.959498</td>\n",
       "      <td>...</td>\n",
       "      <td>16.898625</td>\n",
       "      <td>0.229134</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.014321</td>\n",
       "      <td>4.425148</td>\n",
       "      <td>1.274557</td>\n",
       "      <td>0.028642</td>\n",
       "      <td>1.718504</td>\n",
       "      <td>0.830610</td>\n",
       "      <td>2.420227</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.533542</th>\n",
       "      <td>0.076338</td>\n",
       "      <td>0.045803</td>\n",
       "      <td>0.137408</td>\n",
       "      <td>2.748169</td>\n",
       "      <td>0.916056</td>\n",
       "      <td>7.114703</td>\n",
       "      <td>0.854986</td>\n",
       "      <td>0.519099</td>\n",
       "      <td>12.229350</td>\n",
       "      <td>0.351155</td>\n",
       "      <td>...</td>\n",
       "      <td>25.008334</td>\n",
       "      <td>0.381690</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045803</td>\n",
       "      <td>11.985069</td>\n",
       "      <td>1.664169</td>\n",
       "      <td>0.015268</td>\n",
       "      <td>0.702310</td>\n",
       "      <td>1.206141</td>\n",
       "      <td>3.038253</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.736226</th>\n",
       "      <td>0.121516</td>\n",
       "      <td>0.052078</td>\n",
       "      <td>0.104157</td>\n",
       "      <td>1.840102</td>\n",
       "      <td>0.954770</td>\n",
       "      <td>6.995860</td>\n",
       "      <td>1.822743</td>\n",
       "      <td>0.590221</td>\n",
       "      <td>11.457240</td>\n",
       "      <td>0.156235</td>\n",
       "      <td>...</td>\n",
       "      <td>28.643099</td>\n",
       "      <td>0.503424</td>\n",
       "      <td>0.017359</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>24.077563</td>\n",
       "      <td>1.840102</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.399267</td>\n",
       "      <td>2.360886</td>\n",
       "      <td>2.204651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2.938909</th>\n",
       "      <td>0.049210</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.049210</td>\n",
       "      <td>1.033420</td>\n",
       "      <td>0.664342</td>\n",
       "      <td>6.914073</td>\n",
       "      <td>3.223287</td>\n",
       "      <td>0.639736</td>\n",
       "      <td>9.054729</td>\n",
       "      <td>0.147631</td>\n",
       "      <td>...</td>\n",
       "      <td>27.828527</td>\n",
       "      <td>0.615131</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>37.621413</td>\n",
       "      <td>1.254867</td>\n",
       "      <td>0.024605</td>\n",
       "      <td>0.024605</td>\n",
       "      <td>5.339337</td>\n",
       "      <td>1.156446</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.141593</th>\n",
       "      <td>0.085057</td>\n",
       "      <td>0.042529</td>\n",
       "      <td>0.085057</td>\n",
       "      <td>1.148273</td>\n",
       "      <td>0.446551</td>\n",
       "      <td>5.358609</td>\n",
       "      <td>6.847111</td>\n",
       "      <td>0.574137</td>\n",
       "      <td>4.104014</td>\n",
       "      <td>0.531608</td>\n",
       "      <td>...</td>\n",
       "      <td>20.647654</td>\n",
       "      <td>0.467815</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.021264</td>\n",
       "      <td>34.129233</td>\n",
       "      <td>1.020687</td>\n",
       "      <td>0.106322</td>\n",
       "      <td>0.106322</td>\n",
       "      <td>12.014341</td>\n",
       "      <td>0.680458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.344276</th>\n",
       "      <td>0.129461</td>\n",
       "      <td>0.055483</td>\n",
       "      <td>0.055483</td>\n",
       "      <td>1.350096</td>\n",
       "      <td>0.314406</td>\n",
       "      <td>3.994804</td>\n",
       "      <td>11.762477</td>\n",
       "      <td>0.554834</td>\n",
       "      <td>1.793963</td>\n",
       "      <td>0.832251</td>\n",
       "      <td>...</td>\n",
       "      <td>10.800765</td>\n",
       "      <td>0.258922</td>\n",
       "      <td>0.036989</td>\n",
       "      <td>0.018494</td>\n",
       "      <td>19.511657</td>\n",
       "      <td>1.387085</td>\n",
       "      <td>0.092472</td>\n",
       "      <td>0.166450</td>\n",
       "      <td>18.660912</td>\n",
       "      <td>0.758273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.546959</th>\n",
       "      <td>0.046395</td>\n",
       "      <td>0.034796</td>\n",
       "      <td>0.023197</td>\n",
       "      <td>0.985891</td>\n",
       "      <td>0.173981</td>\n",
       "      <td>2.540120</td>\n",
       "      <td>17.200901</td>\n",
       "      <td>0.475548</td>\n",
       "      <td>0.753917</td>\n",
       "      <td>1.275859</td>\n",
       "      <td>...</td>\n",
       "      <td>3.595603</td>\n",
       "      <td>0.579936</td>\n",
       "      <td>0.104388</td>\n",
       "      <td>0.034796</td>\n",
       "      <td>6.042933</td>\n",
       "      <td>3.340431</td>\n",
       "      <td>0.057994</td>\n",
       "      <td>0.092790</td>\n",
       "      <td>28.010908</td>\n",
       "      <td>0.359560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.749643</th>\n",
       "      <td>0.208938</td>\n",
       "      <td>0.059697</td>\n",
       "      <td>0.074621</td>\n",
       "      <td>2.372942</td>\n",
       "      <td>0.149242</td>\n",
       "      <td>1.552113</td>\n",
       "      <td>22.311620</td>\n",
       "      <td>0.447725</td>\n",
       "      <td>1.104388</td>\n",
       "      <td>1.686430</td>\n",
       "      <td>...</td>\n",
       "      <td>1.492416</td>\n",
       "      <td>0.268635</td>\n",
       "      <td>0.029848</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>3.119150</td>\n",
       "      <td>6.924810</td>\n",
       "      <td>0.059697</td>\n",
       "      <td>0.298483</td>\n",
       "      <td>31.579523</td>\n",
       "      <td>0.761132</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3.952326</th>\n",
       "      <td>0.104306</td>\n",
       "      <td>0.034769</td>\n",
       "      <td>0.052153</td>\n",
       "      <td>0.973519</td>\n",
       "      <td>0.208611</td>\n",
       "      <td>0.869213</td>\n",
       "      <td>29.309871</td>\n",
       "      <td>0.451991</td>\n",
       "      <td>1.686274</td>\n",
       "      <td>1.199514</td>\n",
       "      <td>...</td>\n",
       "      <td>1.129977</td>\n",
       "      <td>1.634121</td>\n",
       "      <td>0.121690</td>\n",
       "      <td>0.017384</td>\n",
       "      <td>2.485950</td>\n",
       "      <td>14.846162</td>\n",
       "      <td>0.052153</td>\n",
       "      <td>0.278148</td>\n",
       "      <td>21.938942</td>\n",
       "      <td>0.591065</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.155010</th>\n",
       "      <td>0.166966</td>\n",
       "      <td>0.015179</td>\n",
       "      <td>0.075893</td>\n",
       "      <td>1.001794</td>\n",
       "      <td>0.303574</td>\n",
       "      <td>0.986615</td>\n",
       "      <td>29.492196</td>\n",
       "      <td>0.333931</td>\n",
       "      <td>1.396440</td>\n",
       "      <td>1.593763</td>\n",
       "      <td>...</td>\n",
       "      <td>0.941079</td>\n",
       "      <td>2.185731</td>\n",
       "      <td>0.667862</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.138402</td>\n",
       "      <td>17.546566</td>\n",
       "      <td>0.045536</td>\n",
       "      <td>0.136608</td>\n",
       "      <td>10.640262</td>\n",
       "      <td>0.318753</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.357693</th>\n",
       "      <td>0.070888</td>\n",
       "      <td>0.035444</td>\n",
       "      <td>0.035444</td>\n",
       "      <td>1.240539</td>\n",
       "      <td>0.478494</td>\n",
       "      <td>1.010153</td>\n",
       "      <td>22.436036</td>\n",
       "      <td>0.336718</td>\n",
       "      <td>1.754477</td>\n",
       "      <td>1.470925</td>\n",
       "      <td>...</td>\n",
       "      <td>1.010153</td>\n",
       "      <td>7.177405</td>\n",
       "      <td>0.939265</td>\n",
       "      <td>0.017722</td>\n",
       "      <td>0.673436</td>\n",
       "      <td>15.382685</td>\n",
       "      <td>0.035444</td>\n",
       "      <td>0.212664</td>\n",
       "      <td>3.154514</td>\n",
       "      <td>0.265830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.560376</th>\n",
       "      <td>0.043183</td>\n",
       "      <td>0.057577</td>\n",
       "      <td>0.043183</td>\n",
       "      <td>0.863659</td>\n",
       "      <td>0.676533</td>\n",
       "      <td>0.561378</td>\n",
       "      <td>16.452695</td>\n",
       "      <td>0.287886</td>\n",
       "      <td>1.568980</td>\n",
       "      <td>1.223516</td>\n",
       "      <td>...</td>\n",
       "      <td>0.604561</td>\n",
       "      <td>8.679768</td>\n",
       "      <td>0.993207</td>\n",
       "      <td>0.028789</td>\n",
       "      <td>0.230309</td>\n",
       "      <td>9.054020</td>\n",
       "      <td>0.014394</td>\n",
       "      <td>0.201520</td>\n",
       "      <td>1.453825</td>\n",
       "      <td>0.143943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.763060</th>\n",
       "      <td>0.088836</td>\n",
       "      <td>0.088836</td>\n",
       "      <td>0.044418</td>\n",
       "      <td>1.421383</td>\n",
       "      <td>1.165978</td>\n",
       "      <td>0.810633</td>\n",
       "      <td>8.317313</td>\n",
       "      <td>0.632960</td>\n",
       "      <td>1.388070</td>\n",
       "      <td>0.910574</td>\n",
       "      <td>...</td>\n",
       "      <td>0.566332</td>\n",
       "      <td>10.804733</td>\n",
       "      <td>0.821737</td>\n",
       "      <td>0.033314</td>\n",
       "      <td>0.222091</td>\n",
       "      <td>3.886595</td>\n",
       "      <td>0.022209</td>\n",
       "      <td>0.155464</td>\n",
       "      <td>0.322032</td>\n",
       "      <td>0.155464</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.965743</th>\n",
       "      <td>0.105544</td>\n",
       "      <td>0.153519</td>\n",
       "      <td>0.086354</td>\n",
       "      <td>2.389141</td>\n",
       "      <td>1.688710</td>\n",
       "      <td>0.892330</td>\n",
       "      <td>4.490434</td>\n",
       "      <td>0.700431</td>\n",
       "      <td>0.949899</td>\n",
       "      <td>0.853950</td>\n",
       "      <td>...</td>\n",
       "      <td>0.969089</td>\n",
       "      <td>13.691985</td>\n",
       "      <td>0.911520</td>\n",
       "      <td>0.009595</td>\n",
       "      <td>0.201494</td>\n",
       "      <td>2.178052</td>\n",
       "      <td>0.019190</td>\n",
       "      <td>0.038380</td>\n",
       "      <td>0.633266</td>\n",
       "      <td>0.441367</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.168427</th>\n",
       "      <td>0.074529</td>\n",
       "      <td>0.193776</td>\n",
       "      <td>0.081982</td>\n",
       "      <td>1.699269</td>\n",
       "      <td>1.736534</td>\n",
       "      <td>0.603688</td>\n",
       "      <td>3.487974</td>\n",
       "      <td>0.462082</td>\n",
       "      <td>0.953976</td>\n",
       "      <td>0.693123</td>\n",
       "      <td>...</td>\n",
       "      <td>1.110487</td>\n",
       "      <td>15.300877</td>\n",
       "      <td>0.827276</td>\n",
       "      <td>0.022359</td>\n",
       "      <td>0.081982</td>\n",
       "      <td>2.228428</td>\n",
       "      <td>0.044718</td>\n",
       "      <td>0.141606</td>\n",
       "      <td>0.402459</td>\n",
       "      <td>0.484441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.371110</th>\n",
       "      <td>0.098388</td>\n",
       "      <td>0.073791</td>\n",
       "      <td>0.098388</td>\n",
       "      <td>0.922386</td>\n",
       "      <td>1.857070</td>\n",
       "      <td>0.307462</td>\n",
       "      <td>3.455871</td>\n",
       "      <td>0.651819</td>\n",
       "      <td>1.180654</td>\n",
       "      <td>0.381253</td>\n",
       "      <td>...</td>\n",
       "      <td>1.266743</td>\n",
       "      <td>15.139421</td>\n",
       "      <td>0.639521</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.036895</td>\n",
       "      <td>2.631873</td>\n",
       "      <td>0.049194</td>\n",
       "      <td>0.196776</td>\n",
       "      <td>0.307462</td>\n",
       "      <td>0.676416</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.573793</th>\n",
       "      <td>0.169361</td>\n",
       "      <td>0.061586</td>\n",
       "      <td>0.092379</td>\n",
       "      <td>1.031562</td>\n",
       "      <td>1.555041</td>\n",
       "      <td>0.354118</td>\n",
       "      <td>4.110851</td>\n",
       "      <td>0.600461</td>\n",
       "      <td>1.478059</td>\n",
       "      <td>0.692840</td>\n",
       "      <td>...</td>\n",
       "      <td>1.493455</td>\n",
       "      <td>14.503450</td>\n",
       "      <td>0.200154</td>\n",
       "      <td>0.030793</td>\n",
       "      <td>0.030793</td>\n",
       "      <td>2.740567</td>\n",
       "      <td>0.015396</td>\n",
       "      <td>0.230947</td>\n",
       "      <td>0.230947</td>\n",
       "      <td>0.554272</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.776477</th>\n",
       "      <td>0.075799</td>\n",
       "      <td>0.090959</td>\n",
       "      <td>0.136438</td>\n",
       "      <td>1.303740</td>\n",
       "      <td>1.167302</td>\n",
       "      <td>0.409314</td>\n",
       "      <td>4.926926</td>\n",
       "      <td>0.576071</td>\n",
       "      <td>1.728214</td>\n",
       "      <td>1.591776</td>\n",
       "      <td>...</td>\n",
       "      <td>1.000545</td>\n",
       "      <td>12.946446</td>\n",
       "      <td>0.090959</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.045479</td>\n",
       "      <td>2.092049</td>\n",
       "      <td>0.075799</td>\n",
       "      <td>0.303195</td>\n",
       "      <td>0.242556</td>\n",
       "      <td>0.545752</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.979160</th>\n",
       "      <td>0.012908</td>\n",
       "      <td>0.141983</td>\n",
       "      <td>0.090353</td>\n",
       "      <td>1.639256</td>\n",
       "      <td>0.567931</td>\n",
       "      <td>0.361411</td>\n",
       "      <td>4.543449</td>\n",
       "      <td>0.361411</td>\n",
       "      <td>1.187492</td>\n",
       "      <td>4.349836</td>\n",
       "      <td>...</td>\n",
       "      <td>0.980972</td>\n",
       "      <td>8.312446</td>\n",
       "      <td>0.038723</td>\n",
       "      <td>0.077445</td>\n",
       "      <td>0.103260</td>\n",
       "      <td>1.355290</td>\n",
       "      <td>0.077445</td>\n",
       "      <td>0.400133</td>\n",
       "      <td>0.864804</td>\n",
       "      <td>0.219428</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.181844</th>\n",
       "      <td>0.031758</td>\n",
       "      <td>0.095273</td>\n",
       "      <td>0.142910</td>\n",
       "      <td>2.302432</td>\n",
       "      <td>0.079394</td>\n",
       "      <td>0.333456</td>\n",
       "      <td>4.001467</td>\n",
       "      <td>0.428729</td>\n",
       "      <td>0.730427</td>\n",
       "      <td>5.017713</td>\n",
       "      <td>...</td>\n",
       "      <td>0.555759</td>\n",
       "      <td>5.017713</td>\n",
       "      <td>0.015879</td>\n",
       "      <td>0.031758</td>\n",
       "      <td>0.063515</td>\n",
       "      <td>0.825700</td>\n",
       "      <td>0.158788</td>\n",
       "      <td>0.412850</td>\n",
       "      <td>1.603763</td>\n",
       "      <td>0.508123</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>31 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                4         5         6          7         8         9   \\\n",
       "0.101342  0.281617  0.060347  0.140809   6.899627  0.020116  0.523004   \n",
       "0.304025  0.371282  0.074256  0.118810  14.524543  0.103959  0.193067   \n",
       "0.506708  0.467608  0.096747  0.096747  20.832756  0.032249  0.306364   \n",
       "0.709392  0.770774  0.056398  0.131596  22.145655  0.169194  0.169194   \n",
       "0.912075  0.868319  0.121161  0.383676  22.556089  0.161548  0.080774   \n",
       "1.114759  1.597515  0.194819  1.090986  27.235676  0.311710  0.584457   \n",
       "1.317442  2.597807  0.048108  1.467280  32.833399  0.216484  1.443226   \n",
       "1.520125  3.157751  0.058477  1.842022  42.161829  0.029238  2.339075   \n",
       "1.722809  3.781595  0.169325  2.314111  45.153376  0.225767  4.853988   \n",
       "1.925492  2.119275  0.217362  1.575871  31.897809  0.081511  5.950273   \n",
       "2.128176  1.211831  0.151479  0.807887  19.237814  0.908873  7.422464   \n",
       "2.330859  0.716043  0.100246  0.472589  11.900642  0.801969  7.375247   \n",
       "2.533542  0.076338  0.045803  0.137408   2.748169  0.916056  7.114703   \n",
       "2.736226  0.121516  0.052078  0.104157   1.840102  0.954770  6.995860   \n",
       "2.938909  0.049210  0.000000  0.049210   1.033420  0.664342  6.914073   \n",
       "3.141593  0.085057  0.042529  0.085057   1.148273  0.446551  5.358609   \n",
       "3.344276  0.129461  0.055483  0.055483   1.350096  0.314406  3.994804   \n",
       "3.546959  0.046395  0.034796  0.023197   0.985891  0.173981  2.540120   \n",
       "3.749643  0.208938  0.059697  0.074621   2.372942  0.149242  1.552113   \n",
       "3.952326  0.104306  0.034769  0.052153   0.973519  0.208611  0.869213   \n",
       "4.155010  0.166966  0.015179  0.075893   1.001794  0.303574  0.986615   \n",
       "4.357693  0.070888  0.035444  0.035444   1.240539  0.478494  1.010153   \n",
       "4.560376  0.043183  0.057577  0.043183   0.863659  0.676533  0.561378   \n",
       "4.763060  0.088836  0.088836  0.044418   1.421383  1.165978  0.810633   \n",
       "4.965743  0.105544  0.153519  0.086354   2.389141  1.688710  0.892330   \n",
       "5.168427  0.074529  0.193776  0.081982   1.699269  1.736534  0.603688   \n",
       "5.371110  0.098388  0.073791  0.098388   0.922386  1.857070  0.307462   \n",
       "5.573793  0.169361  0.061586  0.092379   1.031562  1.555041  0.354118   \n",
       "5.776477  0.075799  0.090959  0.136438   1.303740  1.167302  0.409314   \n",
       "5.979160  0.012908  0.141983  0.090353   1.639256  0.567931  0.361411   \n",
       "6.181844  0.031758  0.095273  0.142910   2.302432  0.079394  0.333456   \n",
       "\n",
       "                 10        11         12         13  ...         25  \\\n",
       "0.101342   4.143799  0.402311   0.704044   8.911180  ...   0.523004   \n",
       "0.304025   4.247463  0.326728   0.608902   9.935500  ...   0.564348   \n",
       "0.506708   4.208475  0.241866   0.628853  11.835327  ...   0.354737   \n",
       "0.709392   5.996998  0.263191   0.526382  11.975197  ...   0.469984   \n",
       "0.912075   6.704227  0.302902   0.605804  14.761415  ...   0.848125   \n",
       "1.114759   7.422599  0.448083   0.954612  15.098462  ...   1.616997   \n",
       "1.317442   5.893174  0.553237   1.154581  14.889285  ...   0.649452   \n",
       "1.520125   5.438350  0.497053   1.461922  11.695376  ...   0.730961   \n",
       "1.722809   4.938651  0.507975   2.793865   6.349694  ...   1.354601   \n",
       "1.925492   2.771360  0.489064   5.705741   2.934381  ...   3.749487   \n",
       "2.128176   1.262324  0.555422  10.367886   2.221690  ...   9.660985   \n",
       "2.330859   1.074065  0.486910  12.187059   0.959498  ...  16.898625   \n",
       "2.533542   0.854986  0.519099  12.229350   0.351155  ...  25.008334   \n",
       "2.736226   1.822743  0.590221  11.457240   0.156235  ...  28.643099   \n",
       "2.938909   3.223287  0.639736   9.054729   0.147631  ...  27.828527   \n",
       "3.141593   6.847111  0.574137   4.104014   0.531608  ...  20.647654   \n",
       "3.344276  11.762477  0.554834   1.793963   0.832251  ...  10.800765   \n",
       "3.546959  17.200901  0.475548   0.753917   1.275859  ...   3.595603   \n",
       "3.749643  22.311620  0.447725   1.104388   1.686430  ...   1.492416   \n",
       "3.952326  29.309871  0.451991   1.686274   1.199514  ...   1.129977   \n",
       "4.155010  29.492196  0.333931   1.396440   1.593763  ...   0.941079   \n",
       "4.357693  22.436036  0.336718   1.754477   1.470925  ...   1.010153   \n",
       "4.560376  16.452695  0.287886   1.568980   1.223516  ...   0.604561   \n",
       "4.763060   8.317313  0.632960   1.388070   0.910574  ...   0.566332   \n",
       "4.965743   4.490434  0.700431   0.949899   0.853950  ...   0.969089   \n",
       "5.168427   3.487974  0.462082   0.953976   0.693123  ...   1.110487   \n",
       "5.371110   3.455871  0.651819   1.180654   0.381253  ...   1.266743   \n",
       "5.573793   4.110851  0.600461   1.478059   0.692840  ...   1.493455   \n",
       "5.776477   4.926926  0.576071   1.728214   1.591776  ...   1.000545   \n",
       "5.979160   4.543449  0.361411   1.187492   4.349836  ...   0.980972   \n",
       "6.181844   4.001467  0.428729   0.730427   5.017713  ...   0.555759   \n",
       "\n",
       "                 26        27        28         29         30        31  \\\n",
       "0.101342   2.152362  0.000000  0.000000   0.341964   0.804621  0.804621   \n",
       "0.304025   1.648491  0.059405  0.000000   0.371282   0.831671  1.752450   \n",
       "0.506708   0.370862  0.032249  0.000000   0.451484   0.725599  2.579908   \n",
       "0.709392   0.018799  0.000000  0.018799   0.902370   0.958768  3.064297   \n",
       "0.912075   0.726964  0.080774  0.000000   0.464449   0.807738  2.705923   \n",
       "1.114759   0.389638  0.000000  0.019482   0.603938   1.129949  1.441660   \n",
       "1.317442   0.024054  0.000000  0.024054   0.336753   0.817828  1.202689   \n",
       "1.520125   0.175431  0.000000  0.000000   0.087715   1.169538  0.350861   \n",
       "1.722809   0.253988  0.000000  0.028221   0.197546   0.874847  0.310429   \n",
       "1.925492   0.135851  0.000000  0.000000   0.217362   0.679255  0.081511   \n",
       "2.128176   0.134648  0.000000  0.016831   0.892042   1.195000  0.117817   \n",
       "2.330859   0.229134  0.000000  0.014321   4.425148   1.274557  0.028642   \n",
       "2.533542   0.381690  0.000000  0.045803  11.985069   1.664169  0.015268   \n",
       "2.736226   0.503424  0.017359  0.000000  24.077563   1.840102  0.000000   \n",
       "2.938909   0.615131  0.000000  0.000000  37.621413   1.254867  0.024605   \n",
       "3.141593   0.467815  0.000000  0.021264  34.129233   1.020687  0.106322   \n",
       "3.344276   0.258922  0.036989  0.018494  19.511657   1.387085  0.092472   \n",
       "3.546959   0.579936  0.104388  0.034796   6.042933   3.340431  0.057994   \n",
       "3.749643   0.268635  0.029848  0.000000   3.119150   6.924810  0.059697   \n",
       "3.952326   1.634121  0.121690  0.017384   2.485950  14.846162  0.052153   \n",
       "4.155010   2.185731  0.667862  0.000000   1.138402  17.546566  0.045536   \n",
       "4.357693   7.177405  0.939265  0.017722   0.673436  15.382685  0.035444   \n",
       "4.560376   8.679768  0.993207  0.028789   0.230309   9.054020  0.014394   \n",
       "4.763060  10.804733  0.821737  0.033314   0.222091   3.886595  0.022209   \n",
       "4.965743  13.691985  0.911520  0.009595   0.201494   2.178052  0.019190   \n",
       "5.168427  15.300877  0.827276  0.022359   0.081982   2.228428  0.044718   \n",
       "5.371110  15.139421  0.639521  0.000000   0.036895   2.631873  0.049194   \n",
       "5.573793  14.503450  0.200154  0.030793   0.030793   2.740567  0.015396   \n",
       "5.776477  12.946446  0.090959  0.000000   0.045479   2.092049  0.075799   \n",
       "5.979160   8.312446  0.038723  0.077445   0.103260   1.355290  0.077445   \n",
       "6.181844   5.017713  0.015879  0.031758   0.063515   0.825700  0.158788   \n",
       "\n",
       "                32         33         34  \n",
       "0.101342  0.422426   6.839280   1.870744  \n",
       "0.304025  0.207918  11.732504   4.618745  \n",
       "0.506708  0.257991  16.624281   9.481162  \n",
       "0.709392  0.075197  18.912164  14.945497  \n",
       "0.912075  0.100967  14.862383  15.912442  \n",
       "1.114759  0.233783  10.383845  12.332034  \n",
       "1.317442  0.841882   5.484260   7.985852  \n",
       "1.520125  1.929737   3.070036   3.742520  \n",
       "1.722809  3.019632   1.693252   1.749693  \n",
       "1.925492  3.314764   0.543404   0.978127  \n",
       "2.128176  2.743450   0.959366   1.969225  \n",
       "2.330859  1.718504   0.830610   2.420227  \n",
       "2.533542  0.702310   1.206141   3.038253  \n",
       "2.736226  0.399267   2.360886   2.204651  \n",
       "2.938909  0.024605   5.339337   1.156446  \n",
       "3.141593  0.106322  12.014341   0.680458  \n",
       "3.344276  0.166450  18.660912   0.758273  \n",
       "3.546959  0.092790  28.010908   0.359560  \n",
       "3.749643  0.298483  31.579523   0.761132  \n",
       "3.952326  0.278148  21.938942   0.591065  \n",
       "4.155010  0.136608  10.640262   0.318753  \n",
       "4.357693  0.212664   3.154514   0.265830  \n",
       "4.560376  0.201520   1.453825   0.143943  \n",
       "4.763060  0.155464   0.322032   0.155464  \n",
       "4.965743  0.038380   0.633266   0.441367  \n",
       "5.168427  0.141606   0.402459   0.484441  \n",
       "5.371110  0.196776   0.307462   0.676416  \n",
       "5.573793  0.230947   0.230947   0.554272  \n",
       "5.776477  0.303195   0.242556   0.545752  \n",
       "5.979160  0.400133   0.864804   0.219428  \n",
       "6.181844  0.412850   1.603763   0.508123  \n",
       "\n",
       "[31 rows x 31 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Plot firing rate of ADn units as a function of heading direction, i.e. a head-direction tuning curve \n",
    "tuning_curves = nap.compute_1d_tuning_curves(group=spikes_adn, \n",
    "                                             feature=position['ry'],                                              \n",
    "                                             nb_bins=31, \n",
    "                                             minmax=(0, 2*np.pi))\n",
    "#What does this look like ? \n",
    "tuning_curves"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6f828b90",
   "metadata": {},
   "source": [
    "Each row indicates an angular bin (in radians), and each column corresponds to a single unit. Let's compute the preferred angle as follows:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "85d962a5",
   "metadata": {},
   "outputs": [],
   "source": [
    "pref_ang = []\n",
    "\n",
    "#Preferred angle is the angular bin with the maximal firing rate \n",
    "for i in tuning_curves.columns:\n",
    "   pref_ang.append(tuning_curves.loc[:,i].idxmax())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ea5fcf5",
   "metadata": {},
   "source": [
    "For easier visualization, we will colour our plots according to the preferred angle of the cell. To do so, we will normalize the range of angles we have, over a colourmap."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "782bf027",
   "metadata": {},
   "outputs": [],
   "source": [
    "norm = plt.Normalize() #Normalizes data into the range [0,1]       \n",
    "color = plt.cm.hsv(norm([i/(2*np.pi) for i in pref_ang])) #Assigns a colour in the HSV colourmap for each value of preferred angle \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5406d261",
   "metadata": {},
   "source": [
    "To make the tuning curves look nice, we will smoothen them before plotting, using this custom function:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "922e5025",
   "metadata": {},
   "outputs": [],
   "source": [
    "def smoothAngularTuningCurves(tuning_curves, window = 20, deviation = 3.0):\n",
    "    new_tuning_curves = {}    \n",
    "    for i in tuning_curves.columns:\n",
    "        tcurves = tuning_curves[i]\n",
    "        offset = np.mean(np.diff(tcurves.index.values)) \n",
    "        padded     = pd.Series(index = np.hstack((tcurves.index.values-(2*np.pi)-offset,\n",
    "                                                tcurves.index.values,\n",
    "                                                tcurves.index.values+(2*np.pi)+offset)),\n",
    "                            data = np.hstack((tcurves.values, tcurves.values, tcurves.values)))\n",
    "        smoothed = padded.rolling(window = window,win_type = 'gaussian',center = True,min_periods = 1).mean(std = deviation)   \n",
    "        new_tuning_curves[i] = smoothed.loc[tcurves.index]\n",
    "\n",
    "    new_tuning_curves = pd.DataFrame.from_dict(new_tuning_curves)\n",
    "\n",
    "    return new_tuning_curves"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e5274158",
   "metadata": {},
   "source": [
    "Therefore, we have: "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "900281a7",
   "metadata": {},
   "outputs": [],
   "source": [
    "smoothcurves = smoothAngularTuningCurves(tuning_curves,window = 20, deviation = 3)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ce95bdc8",
   "metadata": {},
   "source": [
    "What does this look like? Let's plot the tuning curves!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "3b33f9f0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x900 with 31 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize = (12,9)) \n",
    "for i,n in enumerate(smoothcurves.columns):\n",
    "     plt.subplot(8,4,i+1) #Plot the curves in 8 rows and 4 columns\n",
    "     plt.plot(smoothcurves[n], color = color[i]) #Colour of the curves determined by preferred angle\n",
    "     plt.tight_layout()\n",
    "     plt.xlabel('Angle (rad)') #Angle in radian, on the X-axis\n",
    "     plt.ylabel('Firing Rate (Hz)') #Firing rate in Hz, on the Y-axis"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0c0a0e47",
   "metadata": {},
   "source": [
    "Awesome! \n",
    "\n",
    "***\n",
    "\n",
    "### Decoding\n",
    "\n",
    "\n",
    "\n",
    "Now that we have HD tuning curves, we can go one step further. Using only the population activity of ADn units, we can decode the direction the animal is looking in. We will then compare this to the real heead direction of the animal, and discover that population activity in the ADn indeed codes for HD. \n",
    "\n",
    "To decode the population activity, we will be using a Bayesian Decoder as implemented in Pynapple. Just a single line of code!\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "8b2e0c8f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Time (s)\n",
       "8812.35     0.709392\n",
       "8812.45     0.709392\n",
       "8812.55     0.506708\n",
       "8812.65     0.709392\n",
       "8812.75     0.709392\n",
       "              ...   \n",
       "10770.85    5.776477\n",
       "10770.95    5.776477\n",
       "10771.05    5.979160\n",
       "10771.15    5.979160\n",
       "10771.25    5.776477\n",
       "Length: 19590, dtype: float64"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "decoded, proba_feature = nap.decode_1d(tuning_curves = tuning_curves, #decode using the tuning curves we just computed\n",
    "                                     group = spikes_adn,  #Use the spikes from ADn units                               \n",
    "                                     ep = epochs['wake'], #Decode the population activity during wakefulness\n",
    "                                     bin_size= 0.1, #in seconds\n",
    "                                     feature = position['ry'], #Use the angles sampled by the animal to correct for biases in occupancy of a given angular bin\n",
    "                                    )\n",
    "\n",
    "#What does this look like?\n",
    "decoded\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e0a20138",
   "metadata": {},
   "source": [
    "The variable *decoded* indicates the most probable angle in which the animal was looking. \n",
    "There is another variable, *proba_feature* that denotes the probability of a given angular bin at a given time point. We can look at it below:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "6dc7cd92",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>0.101342</th>\n",
       "      <th>0.304025</th>\n",
       "      <th>0.506708</th>\n",
       "      <th>0.709392</th>\n",
       "      <th>0.912075</th>\n",
       "      <th>1.114759</th>\n",
       "      <th>1.317442</th>\n",
       "      <th>1.520125</th>\n",
       "      <th>1.722809</th>\n",
       "      <th>1.925492</th>\n",
       "      <th>...</th>\n",
       "      <th>4.357693</th>\n",
       "      <th>4.560376</th>\n",
       "      <th>4.763060</th>\n",
       "      <th>4.965743</th>\n",
       "      <th>5.168427</th>\n",
       "      <th>5.371110</th>\n",
       "      <th>5.573793</th>\n",
       "      <th>5.776477</th>\n",
       "      <th>5.979160</th>\n",
       "      <th>6.181844</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Time (s)</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8812.35</th>\n",
       "      <td>0.000100</td>\n",
       "      <td>2.187955e-02</td>\n",
       "      <td>1.581491e-01</td>\n",
       "      <td>5.034708e-01</td>\n",
       "      <td>2.103416e-01</td>\n",
       "      <td>9.936589e-02</td>\n",
       "      <td>6.643882e-03</td>\n",
       "      <td>4.945117e-05</td>\n",
       "      <td>2.303023e-07</td>\n",
       "      <td>4.048951e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>8.614071e-15</td>\n",
       "      <td>5.398692e-17</td>\n",
       "      <td>2.897171e-18</td>\n",
       "      <td>1.639439e-17</td>\n",
       "      <td>2.758645e-17</td>\n",
       "      <td>5.070812e-18</td>\n",
       "      <td>3.649023e-19</td>\n",
       "      <td>5.222400e-18</td>\n",
       "      <td>5.747784e-16</td>\n",
       "      <td>1.439321e-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8812.45</th>\n",
       "      <td>0.000004</td>\n",
       "      <td>9.860187e-03</td>\n",
       "      <td>3.377970e-01</td>\n",
       "      <td>5.228581e-01</td>\n",
       "      <td>1.202371e-01</td>\n",
       "      <td>9.161438e-03</td>\n",
       "      <td>8.251980e-05</td>\n",
       "      <td>2.700228e-08</td>\n",
       "      <td>3.793783e-12</td>\n",
       "      <td>3.566629e-17</td>\n",
       "      <td>...</td>\n",
       "      <td>2.904850e-18</td>\n",
       "      <td>4.150435e-20</td>\n",
       "      <td>8.148756e-22</td>\n",
       "      <td>1.358105e-19</td>\n",
       "      <td>1.340967e-19</td>\n",
       "      <td>1.748095e-19</td>\n",
       "      <td>2.019765e-20</td>\n",
       "      <td>9.240654e-20</td>\n",
       "      <td>7.246108e-19</td>\n",
       "      <td>1.276281e-14</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8812.55</th>\n",
       "      <td>0.008426</td>\n",
       "      <td>3.426559e-01</td>\n",
       "      <td>4.705857e-01</td>\n",
       "      <td>1.502019e-01</td>\n",
       "      <td>2.353085e-02</td>\n",
       "      <td>4.364309e-03</td>\n",
       "      <td>2.337925e-04</td>\n",
       "      <td>1.675847e-06</td>\n",
       "      <td>1.323388e-08</td>\n",
       "      <td>1.470867e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>1.051978e-09</td>\n",
       "      <td>4.264471e-10</td>\n",
       "      <td>3.291401e-11</td>\n",
       "      <td>8.246261e-11</td>\n",
       "      <td>2.067806e-10</td>\n",
       "      <td>7.892441e-10</td>\n",
       "      <td>5.974161e-11</td>\n",
       "      <td>4.086647e-11</td>\n",
       "      <td>1.472776e-10</td>\n",
       "      <td>6.027254e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8812.65</th>\n",
       "      <td>0.000111</td>\n",
       "      <td>2.377172e-02</td>\n",
       "      <td>2.926252e-01</td>\n",
       "      <td>5.245652e-01</td>\n",
       "      <td>1.391217e-01</td>\n",
       "      <td>1.953009e-02</td>\n",
       "      <td>2.743659e-04</td>\n",
       "      <td>3.630791e-07</td>\n",
       "      <td>2.301256e-10</td>\n",
       "      <td>2.097335e-14</td>\n",
       "      <td>...</td>\n",
       "      <td>1.041001e-17</td>\n",
       "      <td>3.383357e-19</td>\n",
       "      <td>1.084823e-20</td>\n",
       "      <td>8.014338e-18</td>\n",
       "      <td>1.869468e-17</td>\n",
       "      <td>2.282822e-17</td>\n",
       "      <td>1.019573e-17</td>\n",
       "      <td>1.390911e-16</td>\n",
       "      <td>1.332192e-14</td>\n",
       "      <td>3.744284e-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8812.75</th>\n",
       "      <td>0.000680</td>\n",
       "      <td>6.126122e-02</td>\n",
       "      <td>3.445759e-01</td>\n",
       "      <td>5.357666e-01</td>\n",
       "      <td>4.756890e-02</td>\n",
       "      <td>9.940560e-03</td>\n",
       "      <td>2.061010e-04</td>\n",
       "      <td>2.845606e-07</td>\n",
       "      <td>3.413567e-09</td>\n",
       "      <td>4.654424e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>3.006307e-14</td>\n",
       "      <td>1.684389e-15</td>\n",
       "      <td>3.304284e-16</td>\n",
       "      <td>4.023545e-14</td>\n",
       "      <td>7.687605e-14</td>\n",
       "      <td>1.367327e-13</td>\n",
       "      <td>1.362010e-14</td>\n",
       "      <td>3.466501e-14</td>\n",
       "      <td>7.401004e-13</td>\n",
       "      <td>4.384530e-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10770.85</th>\n",
       "      <td>0.000034</td>\n",
       "      <td>3.886312e-07</td>\n",
       "      <td>1.228797e-11</td>\n",
       "      <td>9.669791e-19</td>\n",
       "      <td>3.534991e-12</td>\n",
       "      <td>5.877834e-13</td>\n",
       "      <td>1.931741e-17</td>\n",
       "      <td>4.715551e-15</td>\n",
       "      <td>3.239064e-14</td>\n",
       "      <td>1.415470e-13</td>\n",
       "      <td>...</td>\n",
       "      <td>4.434358e-12</td>\n",
       "      <td>2.129058e-10</td>\n",
       "      <td>7.047352e-08</td>\n",
       "      <td>1.140581e-04</td>\n",
       "      <td>1.506911e-02</td>\n",
       "      <td>9.972120e-02</td>\n",
       "      <td>2.706241e-01</td>\n",
       "      <td>3.991009e-01</td>\n",
       "      <td>1.811069e-01</td>\n",
       "      <td>3.422883e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10770.95</th>\n",
       "      <td>0.000095</td>\n",
       "      <td>2.253317e-07</td>\n",
       "      <td>6.391497e-11</td>\n",
       "      <td>1.153336e-16</td>\n",
       "      <td>1.429730e-12</td>\n",
       "      <td>1.835837e-12</td>\n",
       "      <td>1.055101e-14</td>\n",
       "      <td>2.999092e-14</td>\n",
       "      <td>4.175044e-13</td>\n",
       "      <td>3.506233e-12</td>\n",
       "      <td>...</td>\n",
       "      <td>3.254143e-10</td>\n",
       "      <td>1.189748e-09</td>\n",
       "      <td>4.055138e-08</td>\n",
       "      <td>8.158243e-05</td>\n",
       "      <td>7.689682e-03</td>\n",
       "      <td>4.704161e-02</td>\n",
       "      <td>2.146309e-01</td>\n",
       "      <td>4.201867e-01</td>\n",
       "      <td>2.541676e-01</td>\n",
       "      <td>5.610691e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10771.05</th>\n",
       "      <td>0.000815</td>\n",
       "      <td>1.598716e-05</td>\n",
       "      <td>6.378624e-09</td>\n",
       "      <td>4.349740e-13</td>\n",
       "      <td>1.174119e-09</td>\n",
       "      <td>1.178650e-09</td>\n",
       "      <td>2.021659e-12</td>\n",
       "      <td>7.753815e-11</td>\n",
       "      <td>6.267979e-10</td>\n",
       "      <td>1.506501e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>4.925662e-10</td>\n",
       "      <td>8.484470e-09</td>\n",
       "      <td>7.417596e-07</td>\n",
       "      <td>2.789592e-04</td>\n",
       "      <td>1.888344e-02</td>\n",
       "      <td>7.946867e-02</td>\n",
       "      <td>2.386599e-01</td>\n",
       "      <td>2.797980e-01</td>\n",
       "      <td>2.907765e-01</td>\n",
       "      <td>9.124426e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10771.15</th>\n",
       "      <td>0.005295</td>\n",
       "      <td>1.043275e-04</td>\n",
       "      <td>2.615601e-07</td>\n",
       "      <td>9.618672e-11</td>\n",
       "      <td>1.216205e-08</td>\n",
       "      <td>5.710370e-09</td>\n",
       "      <td>2.293333e-10</td>\n",
       "      <td>6.926680e-10</td>\n",
       "      <td>2.939622e-09</td>\n",
       "      <td>3.109274e-08</td>\n",
       "      <td>...</td>\n",
       "      <td>3.210046e-10</td>\n",
       "      <td>3.243756e-09</td>\n",
       "      <td>1.603897e-07</td>\n",
       "      <td>7.605488e-05</td>\n",
       "      <td>6.163741e-03</td>\n",
       "      <td>3.138262e-02</td>\n",
       "      <td>9.158279e-02</td>\n",
       "      <td>2.023482e-01</td>\n",
       "      <td>3.588316e-01</td>\n",
       "      <td>3.042121e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10771.25</th>\n",
       "      <td>0.000424</td>\n",
       "      <td>7.279064e-06</td>\n",
       "      <td>7.938126e-10</td>\n",
       "      <td>8.584617e-16</td>\n",
       "      <td>1.742755e-10</td>\n",
       "      <td>3.459940e-11</td>\n",
       "      <td>5.090324e-15</td>\n",
       "      <td>9.647483e-13</td>\n",
       "      <td>8.896715e-12</td>\n",
       "      <td>1.464382e-11</td>\n",
       "      <td>...</td>\n",
       "      <td>2.293123e-09</td>\n",
       "      <td>2.130050e-08</td>\n",
       "      <td>9.625485e-07</td>\n",
       "      <td>4.458517e-04</td>\n",
       "      <td>2.117266e-02</td>\n",
       "      <td>5.566617e-02</td>\n",
       "      <td>1.917794e-01</td>\n",
       "      <td>3.965172e-01</td>\n",
       "      <td>2.570480e-01</td>\n",
       "      <td>7.693824e-02</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>19590 rows × 31 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          0.101342      0.304025      0.506708      0.709392      0.912075  \\\n",
       "Time (s)                                                                     \n",
       "8812.35   0.000100  2.187955e-02  1.581491e-01  5.034708e-01  2.103416e-01   \n",
       "8812.45   0.000004  9.860187e-03  3.377970e-01  5.228581e-01  1.202371e-01   \n",
       "8812.55   0.008426  3.426559e-01  4.705857e-01  1.502019e-01  2.353085e-02   \n",
       "8812.65   0.000111  2.377172e-02  2.926252e-01  5.245652e-01  1.391217e-01   \n",
       "8812.75   0.000680  6.126122e-02  3.445759e-01  5.357666e-01  4.756890e-02   \n",
       "...            ...           ...           ...           ...           ...   \n",
       "10770.85  0.000034  3.886312e-07  1.228797e-11  9.669791e-19  3.534991e-12   \n",
       "10770.95  0.000095  2.253317e-07  6.391497e-11  1.153336e-16  1.429730e-12   \n",
       "10771.05  0.000815  1.598716e-05  6.378624e-09  4.349740e-13  1.174119e-09   \n",
       "10771.15  0.005295  1.043275e-04  2.615601e-07  9.618672e-11  1.216205e-08   \n",
       "10771.25  0.000424  7.279064e-06  7.938126e-10  8.584617e-16  1.742755e-10   \n",
       "\n",
       "              1.114759      1.317442      1.520125      1.722809  \\\n",
       "Time (s)                                                           \n",
       "8812.35   9.936589e-02  6.643882e-03  4.945117e-05  2.303023e-07   \n",
       "8812.45   9.161438e-03  8.251980e-05  2.700228e-08  3.793783e-12   \n",
       "8812.55   4.364309e-03  2.337925e-04  1.675847e-06  1.323388e-08   \n",
       "8812.65   1.953009e-02  2.743659e-04  3.630791e-07  2.301256e-10   \n",
       "8812.75   9.940560e-03  2.061010e-04  2.845606e-07  3.413567e-09   \n",
       "...                ...           ...           ...           ...   \n",
       "10770.85  5.877834e-13  1.931741e-17  4.715551e-15  3.239064e-14   \n",
       "10770.95  1.835837e-12  1.055101e-14  2.999092e-14  4.175044e-13   \n",
       "10771.05  1.178650e-09  2.021659e-12  7.753815e-11  6.267979e-10   \n",
       "10771.15  5.710370e-09  2.293333e-10  6.926680e-10  2.939622e-09   \n",
       "10771.25  3.459940e-11  5.090324e-15  9.647483e-13  8.896715e-12   \n",
       "\n",
       "              1.925492  ...      4.357693      4.560376      4.763060  \\\n",
       "Time (s)                ...                                             \n",
       "8812.35   4.048951e-12  ...  8.614071e-15  5.398692e-17  2.897171e-18   \n",
       "8812.45   3.566629e-17  ...  2.904850e-18  4.150435e-20  8.148756e-22   \n",
       "8812.55   1.470867e-11  ...  1.051978e-09  4.264471e-10  3.291401e-11   \n",
       "8812.65   2.097335e-14  ...  1.041001e-17  3.383357e-19  1.084823e-20   \n",
       "8812.75   4.654424e-12  ...  3.006307e-14  1.684389e-15  3.304284e-16   \n",
       "...                ...  ...           ...           ...           ...   \n",
       "10770.85  1.415470e-13  ...  4.434358e-12  2.129058e-10  7.047352e-08   \n",
       "10770.95  3.506233e-12  ...  3.254143e-10  1.189748e-09  4.055138e-08   \n",
       "10771.05  1.506501e-08  ...  4.925662e-10  8.484470e-09  7.417596e-07   \n",
       "10771.15  3.109274e-08  ...  3.210046e-10  3.243756e-09  1.603897e-07   \n",
       "10771.25  1.464382e-11  ...  2.293123e-09  2.130050e-08  9.625485e-07   \n",
       "\n",
       "              4.965743      5.168427      5.371110      5.573793  \\\n",
       "Time (s)                                                           \n",
       "8812.35   1.639439e-17  2.758645e-17  5.070812e-18  3.649023e-19   \n",
       "8812.45   1.358105e-19  1.340967e-19  1.748095e-19  2.019765e-20   \n",
       "8812.55   8.246261e-11  2.067806e-10  7.892441e-10  5.974161e-11   \n",
       "8812.65   8.014338e-18  1.869468e-17  2.282822e-17  1.019573e-17   \n",
       "8812.75   4.023545e-14  7.687605e-14  1.367327e-13  1.362010e-14   \n",
       "...                ...           ...           ...           ...   \n",
       "10770.85  1.140581e-04  1.506911e-02  9.972120e-02  2.706241e-01   \n",
       "10770.95  8.158243e-05  7.689682e-03  4.704161e-02  2.146309e-01   \n",
       "10771.05  2.789592e-04  1.888344e-02  7.946867e-02  2.386599e-01   \n",
       "10771.15  7.605488e-05  6.163741e-03  3.138262e-02  9.158279e-02   \n",
       "10771.25  4.458517e-04  2.117266e-02  5.566617e-02  1.917794e-01   \n",
       "\n",
       "              5.776477      5.979160      6.181844  \n",
       "Time (s)                                            \n",
       "8812.35   5.222400e-18  5.747784e-16  1.439321e-12  \n",
       "8812.45   9.240654e-20  7.246108e-19  1.276281e-14  \n",
       "8812.55   4.086647e-11  1.472776e-10  6.027254e-08  \n",
       "8812.65   1.390911e-16  1.332192e-14  3.744284e-11  \n",
       "8812.75   3.466501e-14  7.401004e-13  4.384530e-10  \n",
       "...                ...           ...           ...  \n",
       "10770.85  3.991009e-01  1.811069e-01  3.422883e-02  \n",
       "10770.95  4.201867e-01  2.541676e-01  5.610691e-02  \n",
       "10771.05  2.797980e-01  2.907765e-01  9.124426e-02  \n",
       "10771.15  2.023482e-01  3.588316e-01  3.042121e-01  \n",
       "10771.25  3.965172e-01  2.570480e-01  7.693824e-02  \n",
       "\n",
       "[19590 rows x 31 columns]"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "proba_feature"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c749d8ab",
   "metadata": {},
   "source": [
    "Each row of this pandas DataFrame is a time bin, and each column is an angular bin. The sum of all values in a row add up to 1. \n",
    "\n",
    "Now, let's plot the raster plot for a given period of time, and overlay the actual and decoded HD on the population activity."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "2ee5cec6",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/dhruv/pynapple/pynapple/core/time_series.py:154: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  self.rate = len(t) / self.time_support.tot_length(\"s\")\n",
      "/home/dhruv/pynapple/pynapple/core/time_series.py:154: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  self.rate = len(t) / self.time_support.tot_length(\"s\")\n",
      "/home/dhruv/pynapple/pynapple/core/time_series.py:154: RuntimeWarning: invalid value encountered in double_scalars\n",
      "  self.rate = len(t) / self.time_support.tot_length(\"s\")\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f6dbfad6220>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "ep = nap.IntervalSet(start = 10717, end = 10730) #Select an arbitrary interval for plotting\n",
    "\n",
    "plt.figure()\n",
    "plt.rc('font', size = 12)\n",
    "for i,n in enumerate(spikes_adn.keys()):\n",
    "    plt.plot(spikes[n].restrict(ep).as_units('s').fillna(pref_ang[i]), '|',color = color[i]) #raster plot for each cell\n",
    "plt.plot(decoded.restrict(ep),'--', color = 'grey', linewidth = 2, label = 'decoded HD') #decoded HD\n",
    "plt.xlabel('Time (s)') #X-axis is time in seconds\n",
    "plt.ylabel('Angle (rad)') #Y-axis is the angle in radian\n",
    "plt.legend(loc = 'upper left')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "885ff30c",
   "metadata": {},
   "source": [
    "From this plot, we can see that the decoder is able to estimate the head-direction based on the population activity in ADn. Amazing! \n",
    "\n",
    "What does the probability distribution in this example event look like? \\\n",
    "Ideally, the bins with the highest probability will correspond to the bins having the most spikes. Let's plot the probability matrix to visualize this."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9acc2215",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.colorbar.Colorbar at 0x7f6dbfb5d880>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "smoothed = scipy.ndimage.gaussian_filter(proba_feature, 1) #Smoothening the probability distribution\n",
    "\n",
    "#Create a DataFrame with the smoothed distribution\n",
    "p_feature = pd.DataFrame(index = proba_feature.index.values,columns = proba_feature.columns.values, data = smoothed)\n",
    "p_feature = nap.TsdFrame(p_feature) #Make it a Pynapple TsdFrame\n",
    "\n",
    "plt.figure()\n",
    "plt.plot(position['ry'].restrict(ep),'w',linewidth = 2, label = 'actual HD', zorder = 1) #Actual HD, in white\n",
    "plt.plot(decoded.restrict(ep),'--', color = 'grey', linewidth = 2, label = 'decoded HD', zorder = 1) #Decoded HD, in grey\n",
    "\n",
    "#Plot the smoothed probability distribution\n",
    "plt.imshow(p_feature.restrict(ep).T, aspect = 'auto',interpolation = 'bilinear', extent = [ep['start'].values[0],ep['end'].values[0],0,2*np.pi], origin = 'lower', cmap = 'viridis')\n",
    "\n",
    "plt.xlabel('Time (s)') #X-axis is time in seconds\n",
    "plt.ylabel('Angle (rad)') #Y-axis is the angle in radian\n",
    "plt.colorbar(label = 'probability') "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cc8c6811",
   "metadata": {},
   "source": [
    "From this probability distribution, we observe that the decoded HD very closely matches the actual HD. Therefore, the population activity in ADn is a reliable estimate of the heading direction of the animal. \n",
    "\n",
    "I hope this tutorial was helpful. If you have any questions, comments or suggestions, please feel free to reach out to the Pynapple Team!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}

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