Non Stationary Dynamical Mode Decomposition

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

Code for Jensen et al. 2023

Brain Dynamics Programming in Python

Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code

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

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

Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434

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

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

Library for Model Based RL

Spaun (nengo 2.0 version)

Python Implementation of Reinforcement Learning: An Introduction

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

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

The NEST simulator

DynaSim toolbox for modeling and simulating dynamical systems

Python-module for calculation of extracellular potentials from multicompartment neuron models and networks

This repository is dedicated for the tutorial on network and topological neuroscience.

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.

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 fo…

Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"

A curated list of Vector Autoregression resources.