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autograd

Efficiently computes derivatives of numpy code.

bayesian-inference

Relevant python code from the book

benchmarks

Various performance and latency benchmarks for the BonVision package

causal-inference-the-mixtape

Code repo for exercises related to the book

computation-thru-dynamics

Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.

contamineuro_2019_spiking_net

Demo scripts for running spiking network simulations and Hidden Markov Model analyses

cortical_processing_speed

This repository is a collection of matlab and python code to reproduce the reproduce the results contained within the manuscript "State-dependent regulation of cortical processing speed via gain modulation". The simulation of the clustered Neural Network is performed in matlab, while the analysis of the Allen Institute Neuropixel dataset is perfomed in python. To run the data analysis, a conda environment is provided for ease of use.

lanfactory

Package to Train LANs (Likelihood approximation networks)

neurexpo

Visualizing neural spike trains and latent processes in real time.

neuro-project-cookiecutter

neurpi

(Neu)roscience on (R)aspberry (Pi) Network

psychrnn

realtime

Real-time data analysis project for CATNIP lab

ssm

Bayesian learning and inference for state space models

ssm-jax

Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend

ssm-simulators

Python Package which collects simulators for Sequential Sampling Models

vaibrainium.github.io

Personal website