Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli
MATLAB and Python code for generating the figures in Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli. Each subfolder has all instructions and code to generate one figure or a set of figures.
MATLAB R2015b or above, and Python 2.7.
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@article{,
title = {Sustained Activation of PV+ Interneurons in Core Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli},
author = {Gothner, Tina and Gon{\c{c}}alves, Pedro J. and Sahani, Maneesh and Linden, Jennifer F. and Hildebrandt, Jannis K.},
year = {2020},
doi = {doi.org/10.1093/cercor/bhaa347},
publisher = {Oxford Academic},
journal = {Cerebral Cortex}
}
Note that we use a MATLAB function lsqfitma.m
written by Edward T Peltzer (MBARI, revised: 2016 Mar 17).