pranaysy

ETCPy

Compute Effort To Compress (ETC) using the NSRPS algorithm in Python

cognestic22_multimodal_dcm

Dynamic Causal Modelling (DCM) of fMRI and M/EEG face-processing data

CausalDiscoveryPaper

Metadata and code used for paper on Causal Discovery using Compression-Complexity Measures

ChaosFEX

Feature Extraction using Chaos

DCM-MEEG-Demo

Tutorial for fitting group DCMs on M/EEG data

antropy

AntroPy: entropy and complexity of (EEG) time-series in Python

neurodsp

Digital signal processing for neural time series.

cbu_bayesian_sequential_designs

Code for simulating Bayesian sequential design paradigms to assess "power" for supporting H0 or H1 under various scenarios.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

ctwc-model

Griffiths-Lefebvre Corticothalamic Wilson-Cowan Model - repo for Griffiths et al. 2019

DCMdemo

fMRI version of Cognestic 2022's DCM demo tutorial

eeg-infants-exponent

This repository provides analysis code to analyze longitudinal changes in aperiodic activity in infant EEG data.

entropy

EntroPy: complexity of (EEG) time-series in Python

fbpca

Fast Randomized PCA/SVD

Lempel-Ziv_Complexity

:package: Lempel-Ziv Complexity, fast implementations with :snake: Python (naive, Numba or Cython for speedup), Open-Source (MIT) :+1: →

LinearRL

MorletWavelets

MultimodalDCM

Tutorial covering group DCM analyses of fMRI and M/EEG

Neural_Field_with_gaps

NeuroProcImager

PSGPy

Processing, analysis and visualization of Polysomnography data

riksneurotools

Rik Henson's neuroimaging analysis tools

slurm-demo

Tutorial scripts for dispatching parallel jobs to SLURM cluster

spm12

SPM12 Public Release with patches

wireguard

This repository contains scripts that make it easy to configure WireGuard on VPS.

20240419_rust-for-python-programmers

Rust for Python Programmers 1-Day Course

Bayesian-optimization

Source Code for 'Bayesian Optimization' by Peng Liu

fastRPCA

Matlab code for all variants of robust PCA and SPCP

generative_review

Code accompanying "Generative Models: An Interdisciplinary Perspective"

Nicotine-Whole-Brain

Codes used for the article "Whole-brain modeling explains the context-dependent effects of cholinergic neuromodulation"