xjwanglab / book

Related projects: ⓘ

• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆42Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆46Updated 2 years ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆23Updated last year
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆67Updated 4 years ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆41Updated last year
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆48Updated 3 years ago
• awillats / dynamics-in-neuro-reading-list
  This reading list is centered around the practical application of linear dynamical systems models to predict neural data
  ☆35Updated 2 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆24Updated 2 years ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆43Updated 2 weeks ago
• nicholas-roy / psytrack
  ☆46Updated 3 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆30Updated 6 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆31Updated 11 months ago
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆33Updated last year
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 2 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆42Updated 4 years ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆36Updated 2 months ago
• mattgolub / bci_learning
  Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.
  ☆22Updated 6 years ago
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆42Updated 3 years ago
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆23Updated 11 months ago
• kstach01 / CogModelingRNNsTutorial
  ☆46Updated 5 months ago
• PeyracheLab / Tutorial_HDPlaceCells_Analysis
  A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.
  ☆13Updated 6 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆11Updated last month
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆24Updated last month
• breakspear / bdtoolkit
  The Brain Dynamics Toolbox
  ☆34Updated 4 years ago
• PeyracheLab / StarterPack
  Tutorial
  ☆10Updated 3 years ago
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆42Updated 10 months ago
• neurallatents / neurallatents.github.io
  ☆15Updated last year
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆32Updated 4 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆10Updated last year
• glaserlab / sca
  Sparse component analysis
  ☆24Updated 3 months ago