Alternatives and similar repositories for SparseCoding-OlshausenField-Model

Users that are interested in SparseCoding-OlshausenField-Model are comparing it to the libraries listed below

• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆38Updated 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)
  ☆20Updated 4 years ago
• anne-urai / largescale_recordings
  Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…
  ☆18Updated 3 years ago
• catniplab / latent_dynamics_workshop
  Exercises and examples for the latent dynamics workshop
  ☆17Updated last year
• TomGeorge1234 / SIMPL
  Fast optimisation of tuning curves by iterative refitting and decoding
  ☆13Updated 2 months ago
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆16Updated 3 weeks ago
• Dynamics-of-Neural-Systems-Lab / MARBLE
  Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portr…
  ☆72Updated 3 months ago
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆52Updated last year
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• snel-repo / autolfads-tf2
  A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆21Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆52Updated 2 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆20Updated last month
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆35Updated 2 years ago
• xjwanglab / pyrl
  ☆19Updated 8 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆53Updated 4 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆52Updated 2 months ago
• JoramKeijser / MIND
  Implemenation of Manifold Inference from Neural Dynamics (MIND) from Low & Lewallen et. al, '18
  ☆29Updated 6 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆66Updated last year
• cunni / ldr
  code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
  ☆27Updated 8 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆35Updated last year
• saxenalab-neuro / muSim
  Soft Actor Critic for training musculoskeletal models
  ☆15Updated 9 months ago
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 7 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• yu-takagi / dSCA
  Demixed Shared Component Analysis
  ☆13Updated 4 years ago
• ahwillia / PyNeuron-Toolbox
  Some python functions to supplement the NEURON python module
  ☆29Updated 5 years ago
• DurstewitzLab / dendPLRNN
  ☆20Updated last year
• cunningham-lab / neurocaas
  IaC codebase for the NeuroCAAS Platform
  ☆37Updated last year
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 3 months 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…
  ☆25Updated last year
• calebweinreb / SNUB
  ☆27Updated 10 months ago