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ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2021

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

analysis

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.

awesome-var

A curated list of Vector Autoregression resources.

bbci_spiking_plasticity_model

Example code for spiking network model of bidirectional brain-computer interface (BBCI) and artificially-induced synaptic plasticity in motor cortex

bmi_python

brain_sciences_biological_computation_2022

Resources for our paper on biological detail, dynamics and spatial representations

brainlm

brainpy

Brain Dynamics Programming in Python

case-studies-kramer-eden

Code and data for the book "Case Studies in Neural Data Analysis"

ccs

Connectome Computation System

control_package

A toolbox for implementing Network Control Theory analyses in python

curbd

Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

dlds-discrete-python-model

Decomposed Linear Dynamical Systems (dLDS) for learning the latent components of neural dynamics

dominant-balance

Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)

dynamicstimulation

dynasim

DynaSim toolbox for modeling and simulating dynamical systems

eeg_meg_analysis

MATLAB code for methods developed to analyse EEG/MEG data

empj

Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamics" (Pollock and Jazayeri, 2019)

fast_rl_with_bio_based_reps

Companion repository to ICCM paper "Fast Online Reinforcement Learning with Biologically-Based State Representations

gymnasium

An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)

hfopt-matlab

A parallel, cpu-based matlab implemention of the Hessian Free (HF) optimization (feed forward networks, recurrent neural networks (RNN), multiplicative recurrente neural networks (MRNN)).

idtxl

The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

improvedrlcontinuousstatereps

Companion repository to ICCM paper "Improving Reinforcement Learning with Biologically Motivated Continuous State Representations"

inn-surrogate

Solving inverse problems using conditional invertible neural networks.

internal_model_estimation

Codepack accompanying "Internal models for interpreting neural population activity during sensorimotor control," by Matthew D. Golub, Byron M. Yu, and Steven M. Chase, eLife 2015.

jansen-rit-model

Basic code for simulation using Jansen Rit 1-node and 2-node models

jansenandritnmm

This repository contains all the codes for J and R NMM used for studying their bifurcation structures.