Pinned Repositories
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)
neuro-project-cookiecutter
NeuRPi
(Neu)roscience on (R)aspberry (Pi) Network
vaibrainium's Repositories
vaibrainium/neuro-project-cookiecutter
vaibrainium/autograd
Efficiently computes derivatives of numpy code.
vaibrainium/Bayesian-Inference
Relevant python code from the book
vaibrainium/benchmarks
Various performance and latency benchmarks for the BonVision package
vaibrainium/Causal-Inference-The-Mixtape
Code repo for exercises related to the book
vaibrainium/computation-thru-dynamics
Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
vaibrainium/contamineuro_2019_spiking_net
Demo scripts for running spiking network simulations and Hidden Markov Model analyses
vaibrainium/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.
vaibrainium/LANfactory
Package to Train LANs (Likelihood approximation networks)
vaibrainium/NeurExpo
Visualizing neural spike trains and latent processes in real time.
vaibrainium/NeuRPi
(Neu)roscience on (R)aspberry (Pi) Network
vaibrainium/PsychRNN
vaibrainium/realtime
Real-time data analysis project for CATNIP lab
vaibrainium/ssm
Bayesian learning and inference for state space models
vaibrainium/ssm-jax
Bayesian learning and inference for state space models (SSMs) using Google Research's JAX as a backend
vaibrainium/ssm-simulators
Python Package which collects simulators for Sequential Sampling Models
vaibrainium/vaibrainium.github.io
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