Pinned Repositories
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
rosunaor's Repositories
rosunaor/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
rosunaor/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.
rosunaor/awesome-var
A curated list of Vector Autoregression resources.
rosunaor/bmi_python
rosunaor/brain_sciences_biological_computation_2022
Resources for our paper on biological detail, dynamics and spatial representations
rosunaor/BrainLM
rosunaor/BrainPy
Brain Dynamics Programming in Python
rosunaor/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
rosunaor/DynaSim
DynaSim toolbox for modeling and simulating dynamical systems
rosunaor/Fast_RL_with_Bio_Based_Reps
Companion repository to ICCM paper "Fast Online Reinforcement Learning with Biologically-Based State Representations
rosunaor/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
rosunaor/handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"
rosunaor/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.
rosunaor/ImprovedRLContinuousStateReps
Companion repository to ICCM paper "Improving Reinforcement Learning with Biologically Motivated Continuous State Representations"
rosunaor/lfads-torch
A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
rosunaor/LFPy
Python-module for calculation of extracellular potentials from multicompartment neuron models and networks
rosunaor/mbpo
Code for the paper "When to Trust Your Model: Model-Based Policy Optimization"
rosunaor/mbrl-lib
Library for Model Based RL
rosunaor/motor-adaptation-local-vs-input
rosunaor/nest-simulator
The NEST simulator
rosunaor/network_TDA_tutorial
This repository is dedicated for the tutorial on network and topological neuroscience.
rosunaor/Neuroformer
rosunaor/planning_code
Code for Jensen et al. 2023
rosunaor/plumetracknets
Supplementary data and code accompanying: https://arxiv.org/abs/2109.12434
rosunaor/recurrent_dynamics
rosunaor/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
rosunaor/spaun2.0
Spaun (nengo 2.0 version)
rosunaor/Spectral-Dynamic-Causal-Modeling
rosunaor/stable-baselines3-contrib
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
rosunaor/WilsonCowan
Wilson–Cowan model