Alternatives and similar repositories for IBL_MtM_model

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

• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆111Updated 6 months ago
• snel-repo / neural-data-transformers
  ☆79Updated 3 years ago
• neuro-galaxy / poyo
  Official Implementation of POYO-1 https://poyo-brain.github.io/
  ☆68Updated 4 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆23Updated 3 months ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆61Updated last year
• pillowlab / GLMspiketraintutorial_python
  ☆55Updated 2 years 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…
  ☆76Updated last week
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆49Updated 10 months ago
• joel99 / context_general_bci
  Towards large neural data models.
  ☆29Updated last month
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆38Updated last year
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆18Updated 6 months ago
• snel-repo / falcon-challenge
  ☆17Updated 4 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆53Updated 2 months ago
• ShanechiLab / torchDFINE
  ☆30Updated last year
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 4 months ago
• deyingsong / awesome-brain-fm
  ☆11Updated 2 months ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 5 months ago
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆65Updated last week
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆16Updated 4 months ago
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆71Updated 5 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆53Updated 5 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
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 3 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆32Updated 3 months ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆25Updated 2 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆101Updated last week
• gyyang / nn-brain
  Tutorial codes for modeling brains with neural nets
  ☆232Updated 3 years ago
• ShanechiLab / DPAD
  ☆53Updated last month