ndag / TDA-and-Neuro

Related projects: ⓘ

• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated last year
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆16Updated last year
• erikher / GridCellTorus
  ☆22Updated 6 months ago
• agosztolai / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆27Updated last month
• 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
• 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
• morales-gregorio / neural_trefoil_animation
  Animation of population dynamics following a Trefoil knot
  ☆21Updated last year
• lindermanlab / PPSeq.jl
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  ☆28Updated 2 years ago
• jaxleyverse / jaxley
  Differentiable neuron simulations with biophysical detail on CPU, GPU, or TPU.
  ☆21Updated this week
• pillowlab / GLMspiketraintutorial_python
  ☆46Updated 2 years ago
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆19Updated last year
• timkimd / plnde
  Code for "Inferring Latent Dynamics Underlying Neural Population Activity via Neural Differential Equations"
  ☆9Updated 3 years ago
• AlGoulas / bio2art
  Convert biological neuronal networks to artificial recurrent neuronal networks
  ☆19Updated 2 years ago
• pyrates-neuroscience / PyCoBi
  Python package for automated bifurcation analysis and parameter continuations, based on Auto-07p.
  ☆17Updated last month
• brian-team / brian2modelfitting
  Model fitting toolbox for the Brian 2 simulator
  ☆14Updated 11 months ago
• brain-modelling-group / neural-flows
  Estimation, analysis and decomposition of brainwave spatiotemporal dynamics
  ☆27Updated 3 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 4 years ago
• dougollerenshaw / figrid
  Utilities for formatting matplotlib figures
  ☆27Updated 2 years ago
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆10Updated 10 months ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆10Updated last year
• 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
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆32Updated 4 months ago
• pierreglaser / jupyter-slurm-setup-instructions
  ☆19Updated 3 months ago
• DurstewitzLab / dendPLRNN
  ☆17Updated 5 months ago
• murthylab / GLMHMM
  ☆21Updated 4 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆11Updated last month
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆27Updated last year
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆33Updated 2 years ago
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆19Updated 3 years ago