robgkmunn

asympPDC

The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation with asymptotic statistics, allied functions and routines for Granger Causality Test and results pretty plotting.

Axona_Analysis_Gui

Development of a gui that lets you do various levels of analysis from raw axona output

axona_io

Matlab Input/Output functions for the AXONA E-Physiology system

bayesian-position-decoding

applies bayesian population decoding of the electrophysiological activity of place cells in order to estimate position

Bursting_Analysis

Code used to find bursts in spiketrains and then produce behavioral correlates for the full train vs. just the bursts. Bursts are defined as any spike preceded by at least 300ms quiescence and followed by at least one other spike within 300ms

CMBHOME

MATLAB Package for Neural Data

data

Data_analysis_tools

Tools used for data analysis during my postdoc - code to analyse speed-encoding, head direction encoding, and grid cells as well as theta LFP

fix_matlab_vector_graphics

github.io

robgkmunn/Data_analysis_tools

Tools used for data analysis during my postdoc - code to analyse speed-encoding, head direction encoding, and grid cells as well as theta LFP

robgkmunn/github.io

robgkmunn/asympPDC

The asympPDC Package is a MATLAB and Octave package for Partial Directed Coherence (PDC) and Directed Transfer Function (DTF) estimation with asymptotic statistics, allied functions and routines for Granger Causality Test and results pretty plotting.

robgkmunn/Axona_Analysis_Gui

Development of a gui that lets you do various levels of analysis from raw axona output

robgkmunn/axona_io

Matlab Input/Output functions for the AXONA E-Physiology system

robgkmunn/bayesian-position-decoding

applies bayesian population decoding of the electrophysiological activity of place cells in order to estimate position

robgkmunn/Bursting_Analysis

Code used to find bursts in spiketrains and then produce behavioral correlates for the full train vs. just the bursts. Bursts are defined as any spike preceded by at least 300ms quiescence and followed by at least one other spike within 300ms

robgkmunn/CMBHOME

MATLAB Package for Neural Data

robgkmunn/data

robgkmunn/fix_matlab_vector_graphics

robgkmunn/gramm

Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.

robgkmunn/gridcells

Grid cell data analysis package.

robgkmunn/mec-reward-remapping

Code for Butler, Hardcastle, Giocomo 2019

robgkmunn/mle_rhythmicity

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

robgkmunn/Pass_Index

Implementation of the pass index technique for looking at open-field phase precession.

robgkmunn/Projects

Code Samples

robgkmunn/SiliconProbeCode

Contains a bunch of general purpose functions for processing data from Neuropixel and Cambridge Neurotech probes