macshine

Class-Decoding

Supervised and unsupervised techniques to decode signals from a population of neurons: the case of head-direction cells.

corematrix

repo for Muller et al., 2020 (https://macshine.github.io/publications/2020_nimg.pdf)

coupling

Matlab and Python scripts for calculating functional coupling between time series data

gain_topology

Code for biophysical modeling study

ieeg_temp

integration

Code supporting 'The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance'

lst_statespace

Code/data for the analysis of state-space dynamics in the LST dataset

macshine.github.io

metaconnectivity

state_space

macshine/state_space

macshine/coupling

Matlab and Python scripts for calculating functional coupling between time series data

macshine/integration

Code supporting 'The Dynamics of Functional Brain Networks: Integrated Network States during Cognitive Task Performance'

macshine/gain_topology

Code for biophysical modeling study

macshine/corematrix

repo for Muller et al., 2020 (https://macshine.github.io/publications/2020_nimg.pdf)

macshine/metaconnectivity

macshine/Class-Decoding

Supervised and unsupervised techniques to decode signals from a population of neurons: the case of head-direction cells.

macshine/ieeg_temp

macshine/lst_statespace

Code/data for the analysis of state-space dynamics in the LST dataset

macshine/macshine.github.io

macshine/micaopen

Open Scripts / Pipelines from the Multimodal Imaging and Connectome Analysis Lab

macshine/nipype-beginner-s-guide

Beginner's guide for Nipype

macshine/semantic-image-comparison

reproducible pipeline to go along with work for semantic-image-comparison