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acme

A library of reinforcement learning components and agents

affinewarp

An implementation of piecewise linear time warping for multi-dimensional time series alignment

algonauts2021_devkit

Starting code for Algonauts 2021 challenge

awesome-neuropixels

awesome-representation-learning

The newest reading list for representation learning

brainpy

BrainPy: a simulation toolbox for researches in computational neuroscience and brain-inspired computation

cascade

Calibrated inference of spiking from calcium ΔF/F data using deep networks

causal-decomposition-analysis

Causal decomposition analysis

causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

ccnlab

Benchmarks for computational cognitive neuroscience tasks

coin

The COntextual INference (COIN) model

computation-neuro-course

contintedm

cosyne-tutorial-2022

Cosyne workshop tutorial 2022

course-content

Summer course content for Neuromatch Academy

course-content-dl

curbd

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

cvvectorstats

Cross-validated estimation of Euclidean distance (and other multivariate statistics)

dlag

A dimensionality reduction framework for disentangling the flow of signals between populations of neurons

dpca

An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)

dynamic_computational_phenotyping

ecog-component-model

Component model used to analyze auditory ECoG data

edf-converter

Converts EyeLink 1000 Edf files into a MATLAB structure - eye edf

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

facemap

Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.

fast-marl

FAST iteration of MARL research ideas: A starting point for Multi-Agent Reinforcement Learning

fixed-point-finder

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

glm-hmm

Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IBL, Churchland, Pouget and Pillow (2021)

glmhmm

glmhmm-1

code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)