KentZCLiang

KentZCLiang's Stars

• DurstewitzLab/CNS-2023

  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks

  Language:Jupyter Notebook256

• iMoonLab/DeepHypergraph

  A pytorch library for graph and hypergraph computation.

  Language:Python62963

• mackelab/smc_rnns

  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals

  Language:Jupyter Notebook121

• arsedler9/lfads-torch

  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

  Language:Jupyter Notebook8218

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python6.5k1k

• Infinitywxh/Neural_Koopman_pooling

  [CVPR 2023] Neural Koopman Pooling: Control-Inspired Temporal Dynamics Encoding for Skeleton-Based Action Recognition

  Language:Python313

• gaurav71531/UUknowns

  fractional dynamical model estimation with unknown unknowns

  Language:Jupyter Notebook23

• WilburDoz/ICLR_Actionable_Reps

  Language:Jupyter Notebook81

• fzenke/sslneurips22_web

  NeurIPS 2022 Workshop on SSL

  Language:HTML1

• fzenke/spytorch

  Tutorial for surrogate gradient learning in spiking neural networks

  Language:Jupyter Notebook28077

• jacopobono/learning_cognitive_maps_code

  Code supporting the article "Learning predictive cognitive maps with spiking neurons during behavior and replays"

  Language:Python2

• slinderman/pyglm

  Interpretable neural spike train models with fully-Bayesian inference algorithms

  Language:Python4710

• J0-0/FORCE-learning-Sussillo-Abbott

  Generating Coherent Patterns of Activity from Chaotic Neural Networks

  Language:Jupyter Notebook1

• C16Mftang/sequential-memory

  Predictive coding for sequential memory

  Language:Python5

• C16Mftang/covariance-learning-PCNs

  Recurrent predictive coding networks for associative memory employing covariance learning

  Language:Jupyter Notebook6

• NACLab/ngc-learn

  NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

  Language:Python11020

• ebatty/MathToolsforNeuroscience

  Materials for Mathematical Tools for Neuroscience course at Harvard (Neurobio 212)

  Language:Jupyter Notebook43861

• neuroailab/mec

  Language:Python9

• ganguli-lab/grid-pattern-formation

  repository for grid cell network code

  Language:Jupyter Notebook5017

• 22JunShu/Emergence-of-Grid-Cell-Cueva-2018

  A reproduction code for “Emergence of grid-like representations by training recurrent neural networks to perform spatial localization”(Cueva & Wei, 2018)

  Language:Python2

• Unity-Technologies/rat-rnn

  Simulate Rat neural activity in the maze

  Language:Jupyter Notebook4213

• TMats/survey

  Summary of Paper Survey

  162

• ahwillia/tensortools

  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA

  3212

• nmasse/Short-term-plasticity-RNN

  Short-term plasticity RNN models in Tensorflow

  Language:Python3321

• Pehlevan-Group/BalancedEIMinimax

  Language:MATLAB3

• zhd96/pi-vae

  Poisson Identifiable VAE (pi-VAE)

  Language:Python496

• ruiqigao/grid-cell-path

  Official code for On Path Integration of Grid Cells: Group Representation and Isotropic Scaling (NeurIPS 2021)

  Language:Python472

• DehongXu/grid-cell-rnn

  Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geometry in Neural Representations, 2022)

  Language:Python102

• luphysics/PyMODA

  Python implementation of MODA, a numerical toolbox developed by the Nonlinear & Biomedical Physics group at Lancaster University.

  Language:Python206

• frantisekvasa/null_models_net_neurosci

  Null models in network neuroscience

  247