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Code and data for paper 'Hippocampal networks support reinforcement learning in partially observable environments'.
Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IBL, Churchland, Pouget and Pillow (2021)
zashwood / ssm
Forked from lindermanlab/ssmBayesian learning and inference for state space models
Official Implementation of POYO-1 https://poyo-brain.github.io/
Ripser: efficient computation of Vietoris–Rips persistence barcodes
Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogiuseppe and S. Ostojic (2018)
GEKKO Python for Machine Learning and Dynamic Optimization
Fitting latent circuit model to neural responses.
Automated quality control, curation and neuron classification of spike-sorted electrophysiology data
The code for "Diffusion Geometry" (2024).
SCOTT: Synthesizing Curvature Operations and Topological Tools
A differentiable spiking neural network simulator
Recurrent spiking neural networks (RSNNs) for decoding of motor signals from cortical spike trains
Graph Neural Network Library for PyTorch
Official Implementation of RRR Decoder
Fitting low-rank RNNs to neural trajectories (LINT method).
FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
An implementation of demixed Principal Component Analysis (a supervised linear dimensionality reduction technique)
Vim-fork focused on extensibility and usability
2024 project on effects of motor learning on adaptation
Code for Task representations in neural networks trained to perform many cognitive tasks
Official inference repo for FLUX.1 models