Alternatives and similar repositories for MotorNet:

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

• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆18Updated last month
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆53Updated 2 months ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆17Updated 2 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆52Updated 4 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 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
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆94Updated 7 months ago
• amathislab / Task-driven-Proprioception
  [Cell 2024]: Code for Task-driven neural network models predict neural dynamics of proprioception by Marin Vargas* and Bisi* et al.
  ☆12Updated 11 months ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆42Updated last year
• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆29Updated 7 months ago
• adrian-valente / populations_paper_code
  Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper
  ☆25Updated 2 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆91Updated this week
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆68Updated 4 years ago
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 7 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆47Updated last week
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆47Updated 5 months ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆95Updated last month
• 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…
  ☆55Updated 2 weeks 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
  ☆37Updated 3 years ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated 2 years ago
• ShanechiLab / PSID
  Preferential Subspace Identification Algorithm
  ☆47Updated last year
• PeyracheLab / Tutorial_HDPlaceCells_Analysis
  A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.
  ☆14Updated 6 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆16Updated 2 years ago
• namboodirilab / ANCCR
  ☆13Updated last year
• seanmperkins / mint
  Home of the neural decode algorithm MINT.
  ☆15Updated last month
• glaserlab / sca
  Sparse component analysis
  ☆26Updated last month
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆33Updated 11 months ago
• kstach01 / CogModelingRNNsTutorial
  ☆48Updated 10 months ago