Alternatives and similar repositories for IBL_MtM_model:

Users that are interested in IBL_MtM_model are comparing it to the libraries listed below

• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆63Updated last month
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆98Updated 3 months ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆29Updated 5 months ago
• snel-repo / neural-data-transformers
  ☆77Updated 3 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated 9 months ago
• neurallatents / neurallatents.github.io
  ☆16Updated 2 years ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆11Updated 3 weeks ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 6 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆51Updated last month
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 3 weeks ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆19Updated 2 weeks ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆31Updated this week
• pillowlab / GLMspiketraintutorial_python
  ☆51Updated 2 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆53Updated 4 years ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 2 months 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
• ShanechiLab / torchDFINE
  ☆30Updated last year
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆49Updated 7 months ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆58Updated 4 months ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆21Updated 2 months ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated last month
• neurallatents / nlb_workshop
  ☆20Updated 3 years ago
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆36Updated last year
• 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…
  ☆65Updated 2 months ago
• lauradriscoll / flexible_multitask
  code for the paper, "flexible multitask computation in recurrent networks utilizes shared dynamical motifs"
  ☆10Updated 2 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆49Updated last year
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆17Updated 3 months ago
• NII-Kobayashi / GLMCC
  GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)
  ☆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…
  ☆34Updated 6 years ago
• snel-repo / falcon-challenge
  ☆14Updated last month