https://github.com/OHBA-analysis/HMM-MAR

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Revision Author Date Message Commit Date
bd802fe several fixes, one particularly important, for an error introduced on 16Feb 03 March 2021, 22:24:58 UTC
a2089cf Fixed an error that made the initialisation quite inefficient (importnat one) 16 February 2021, 19:43:40 UTC
23528ce Merge branch 'master' of https://github.com/OHBA-analysis/HMM-MAR 16 February 2021, 10:03:14 UTC
e5f20c2 added checkData.m, to check the dimensions data and its conformity with T 16 February 2021, 10:00:43 UTC
7615c48 Added sliding window and K=1 options for baseline decoding comparisons 11 February 2021, 15:20:58 UTC
ff82ee0 tiny thing pending from last commit 11 February 2021, 09:46:47 UTC
1674fd1 Small changes in the 2016 Neuroimage example script 11 February 2021, 09:38:17 UTC
abc0b96 Fixed hmmspectramar so that it doesn't crash if T is provided in weird formats 11 February 2021, 09:21:21 UTC
ffa01ab Stop some annoying warnings 11 February 2021, 09:03:15 UTC
036a07c Fixed an error in stochastic training introduced in yesterday's commit 10 February 2021, 21:44:14 UTC
088d60c Updated the example script for the 2016 paper 10 February 2021, 19:12:56 UTC
89b7301 Improved the logic of the initialisation (now it'll converge quicker) 10 February 2021, 19:11:48 UTC
ff992e6 fixed bug introduced in the last commit 09 February 2021, 20:00:35 UTC
5936faa Lots of changes with new mode 09 February 2021, 19:36:31 UTC
57bc793 Lots of changes with new model 09 February 2021, 19:33:27 UTC
63d0400 solved issue in hmmperturb with random sampling 09 February 2021, 19:15:37 UTC
1694718 checked a recently introduced bug in checkoptions.m 09 February 2021, 18:52:56 UTC
12325a7 bug fix 09 February 2021, 17:34:34 UTC
968eee6 Merge branch 'master' of github.com:OHBA-analysis/HMM-MAR 09 February 2021, 16:34:48 UTC
192905d added PLS dimensionality reduction and some bug fixes 09 February 2021, 16:34:15 UTC
f3b5e0f option.plotGamma to display graphical progress during training 05 February 2021, 15:55:08 UTC
82fc7a9 Merge branch 'master' of https://github.com/OHBA-analysis/HMM-MAR 01 February 2021, 16:53:54 UTC
9af05cc fixed a typo in NatComms2018_fullpipeline.m 01 February 2021, 15:57:03 UTC
afffb36 Update README.md 01 February 2021, 07:59:03 UTC
1f7aad2 Introduced a warning about the risk of overparametrisation in the MAR model 01 February 2021, 07:44:01 UTC
368210e Scripts for my PLOS Comp Bio paper 26 January 2021, 19:43:02 UTC
a87bc1e Merge branch 'master' of github.com:OHBA-analysis/HMM-MAR 14 January 2021, 10:09:28 UTC
dd5447a Updated TUDA code to allow for supervised dimensionality reduction in cross validation procedure using PLS 14 January 2021, 10:09:00 UTC
f191626 New option BIGinitStrategy added for stochastic learning 12 January 2021, 18:36:59 UTC
071bce7 Improved some little things with the stochastic inference 11 January 2021, 15:55:22 UTC
adde522 Added a function to plot Viterbi path 03 January 2021, 12:32:51 UTC
7b0b4b5 Fixed an error when useParallel=1 and order>0 03 January 2021, 12:20:34 UTC
578f6a0 Fixed some errors in experimental options, and improved the efficiency of hsinference a bit 22 December 2020, 20:43:06 UTC
e91c75e Fixed an issue with hmmspectramar.m 19 December 2020, 15:45:51 UTC
0f5813b Merge branch 'master' of github.com:OHBA-analysis/HMM-MAR 14 December 2020, 08:52:07 UTC
fb0ef65 changed the codification of the classes for TUDA 04 December 2020, 18:02:34 UTC
41e61c1 Minor edits to tuda configuration - specifically initialisation routine when full covariance used 30 November 2020, 21:34:25 UTC
b1339b1 Adapted padGamma to the case when the HMM is run on downsampled data 27 November 2020, 16:29:27 UTC
e995c30 Adapted padGamma to the case when the HMM is run on downsampled data (using options.downsample) 27 November 2020, 16:21:49 UTC
5c55fc9 Fixed a bug in makeMap (related to the eigenvector maps) 24 November 2020, 15:04:33 UTC
7dcb56b Removed references to squash, reordered a few files, and added predictPhenotype_CVHMM.m 19 November 2020, 14:41:33 UTC
6383278 updated some small things on the plotting functions 13 November 2020, 16:42:13 UTC
2d695cc Changed how the degree is computed in makeMap.m and fixed a small bug in hmmsinit.m 09 November 2020, 09:20:49 UTC
ce31fba Improved the prediction stuff 05 November 2020, 18:11:33 UTC
5fe3a62 corrected bug in hmm_kl.m 04 November 2020, 14:29:16 UTC
56ecdaf changed value by default of BIGverbose 04 November 2020, 14:28:50 UTC
eb339cb corrected bug in getGammaSimilarity.m 04 November 2020, 14:28:18 UTC
78c60f4 Make the stochastic inference to run with mixture models 03 November 2020, 20:03:36 UTC
7d5d7ed Updated the prediction stuff 03 November 2020, 20:03:14 UTC
5879dea continuation of last commitm 02 November 2020, 10:57:19 UTC
ee9edee Expanded the functionality of the plotting functions and add some utilities to handle parcellations 02 November 2020, 10:28:17 UTC
56a8b2c Added option to return both COD and Pearson accuracy metrics from call to tudacv 27 October 2020, 13:53:52 UTC
132bfb7 Minor improvements to LDA prediction code 27 October 2020, 13:53:09 UTC
e43057c fixed something that could give trouble when the HMM on a clusterM 27 October 2020, 12:36:52 UTC
2172687 Large update including a new model based on the factorial HMM 21 October 2020, 15:38:53 UTC
27ded33 more minor updates for stochastic learning 21 October 2020, 14:07:32 UTC
1283d3e minor changes related to the stochastic learning option 21 October 2020, 14:05:26 UTC
568cf54 added function to pass parcellations from func.gii to nifti 21 October 2020, 14:02:41 UTC
64e6bc5 Merge branch 'master' of https://github.com/OHBA-analysis/HMM-MAR 19 October 2020, 12:21:41 UTC
a6fd548 Solved small issues with brain maps 19 October 2020, 12:19:11 UTC
784adde Merge branch 'master' of github.com:OHBA-analysis/HMM-MAR 16 October 2020, 17:10:15 UTC
c336cb0 Optimisation of LDA inference code 16 October 2020, 17:09:57 UTC
b36bf13 Make possible to produce brain maps for some states only 16 October 2020, 15:30:40 UTC
c37f3dd adapt NatComms2018_fullpipeline.m to use the new connectivity plotting functionsm 16 October 2020, 09:31:01 UTC
3cfafd9 Rebalance the parcellations in the brain map projections 16 October 2020, 09:27:14 UTC
39dc2ce Small edits in the brain map functions 16 October 2020, 09:16:37 UTC
c81b1d2 Added functionality to create brain activity and connectivity from spectral estimations 16 October 2020, 08:37:10 UTC
bd973e4 Added functions to display the HMM states into brain activity and connectivity maps 15 October 2020, 14:54:26 UTC
dd224a3 Improved the stochastic inference 15 October 2020, 14:53:33 UTC
9fdea97 Huge improve in memory usage when options.useParallel is used (3) 08 October 2020, 19:42:15 UTC
48f76b7 Huge improve in memory usage when options.useParallel is used (2) 08 October 2020, 17:15:45 UTC
f31d04f Fixed issue with stochastic learning when covtype='uniquediag'/'uniquefull' 08 October 2020, 16:06:33 UTC
166966b Huge improve in memory usage when options.useParallel is used 08 October 2020, 16:05:10 UTC
4b946d1 Corrected small typo in getFuncConn.m 05 October 2020, 10:41:33 UTC
f079f84 Solved rank-related issue with getFuncConn.m when PCA is used 28 September 2020, 10:03:30 UTC
1372b1c fixed a bug in getFuncConn.m 25 September 2020, 11:59:45 UTC
c56b92b getFuncConn.m now returns also partial correlation matrices 25 September 2020, 08:59:47 UTC
63e8094 Option on getFuncConn.m and getMean.m to return parameters in PCA space 18 September 2020, 13:15:27 UTC
4534d1c Fixing tuda/tuca outputs to use soft probabilities 11 September 2020, 10:54:09 UTC
8a28277 Fixed precision bug in state likelihood computation 11 September 2020, 10:40:05 UTC
a066945 Merge remote-tracking branch 'refs/remotes/github/master' 11 September 2020, 08:59:25 UTC
3551863 Added AUC and cross-validated model likelihood as classification accuracy metrics 11 September 2020, 08:58:40 UTC
8f97ef3 Amended to return soft classification probabilities 11 September 2020, 08:30:52 UTC
b85d1b4 Improved intialisation for encoding models 11 September 2020, 08:23:44 UTC
8cf047b Updated tudadecode to work with encoding models 11 September 2020, 07:48:17 UTC
7c6e9e0 Merge branch 'master' of https://github.com/OHBA-analysis/HMM-MAR 03 September 2020, 15:24:42 UTC
be88157 add functionality for HMM-PCA 03 September 2020, 15:17:39 UTC
0486e27 simplify cvhmmmar.m 03 September 2020, 15:17:21 UTC
1091377 Merge remote-tracking branch 'refs/remotes/github/master' 25 August 2020, 13:56:26 UTC
189f836 Fix bug and enforce hard state assignments when computing state conditioned accuracies in tuda 25 August 2020, 13:55:47 UTC
8ddb798 Update coefficient of determination computation for tudacv 25 August 2020, 13:10:47 UTC
673ed58 Merge branch 'master' of https://github.com/OHBA-analysis/HMM-MAR 24 August 2020, 15:58:03 UTC
2b432b1 Remove PCA message when verbose=0 24 August 2020, 15:57:39 UTC
5ba8a80 Merge branch 'master' of github.com:OHBA-analysis/HMM-MAR 24 August 2020, 14:33:25 UTC
7506f82 Couple of TUDA bug fixes for cases where more than one regressor is used 24 August 2020, 14:32:36 UTC
b52073b Optimized HMM-PCA for computational efficiency 24 August 2020, 14:06:11 UTC
3cb7315 Optimized calls to setstateoptions.m to improve computational efficiency 24 August 2020, 13:47:14 UTC
dd0a8e4 Added option in TUDA to return accuracy per state (averaged over all state activations 14 August 2020, 17:11:05 UTC
5391b94 Fixed bug when doing binary classification with LDA 14 August 2020, 17:09:54 UTC
0ccc302 For decorrelating regressors, ensured outputs are scaled to unit variance 13 August 2020, 16:28:54 UTC
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