FM-Feedback model for pitch and FM-direction encoding
This folder contains everything you need to reproduce the results of the manuscript "Neural modelling of the encoding of fast frequency modulation"
The code is written in a mix-up of python and MATLAB (sorry!).
-- Contents --
jibia.m : Wrapper for the plots of all figures in the manuscript
octopus.py : Wrapper for all the modelling results reported in the manuscript
deltaPitchDB.mat : Experimental data for the single-sweeps deltaPitchSSDB.mat : Experimental data for the sweep-trains
expResAvgSw.mat : Average sweep pitch shift for the single-sweeps expResAvgTr.mat : Average sweep pitch shift for the sweep-trains
hierField : Model libraries (this folder will be published in github) startHere.py : installation instructions, licence, and running examples hierField.py : model library soch.py : main python librariy for stimulus generation
sacf : Libraries necessary for running the temporal model sweepSacf.m : main wrapper, run this to get the results sacf.py : python wrapper for the SACF moch.py : main python library running the SACF soch.py : same as in hierField