mle_rhythmicity
================

An improved method for examining neural single unit rhythmicity using maximum 
likelihood estimation for a parametric distribution of lags.

Daniel Manson (d.manson.11@ucl.ac.uk) has adapted this code for PYTHON, it is
available at https://gist.github.com/d1manson/f1d8907865298808941d . Note that
it requires another file, available at: 
https://gist.github.com/d1manson/40cbbb62a5f4ecc37bd7 .

This code has been freely distributed by the authors under the BSD 
licence (http://opensource.org/licenses/BSD-2-Clause). If used or
modified, we would appreciate it if you cited our paper:

Climer, J. R., DiTullio, R., Newman, E. L., Hasselmo, M. E., Eden, U. T. 
(2014), Examination of rhythmicity of extracellularly recorded neurons in
the entorhinal cortex. Hippocampus, Epub ahead of print. doi:
10.1002/hipo.22383.

Copyright (c) 2014, Trustees of Boston University
All rights reserved.

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