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
  ☆46Updated last year
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆16Updated this week
• pillowlab / GLMspiketraintutorial_python
  ☆49Updated 2 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆16Updated last month
• mitchellostrow / DSA
  Dynamical Similarity Analysis code accompanying the paper "Beyond Geometry: comparing the temporal structure of computation in neural cir…
  ☆52Updated last month
• 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 10 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)
  ☆28Updated 6 months ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆50Updated 3 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆45Updated 4 months ago
• mattgolub / fixed-point-finder
  FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks
  ☆92Updated 6 months ago
• PeyracheLab / Tutorial_HDPlaceCells_Analysis
  A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.
  ☆14Updated 6 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆89Updated this week
• joshcash9 / Neuromechanics_Course
  Neuromechanics_Course_2020
  ☆50Updated this week
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆68Updated 4 years ago
• PeyracheLab / StarterPack
  Tutorial
  ☆10Updated 4 years ago
• brandbci / brand
  Backend for Real-time Asynchronous Neural Decoding (BRAND)
  ☆26Updated 2 months ago
• snel-repo / falcon-challenge
  ☆12Updated last month
• 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
• neurallatents / nlb_tools
  Python tools for participating in Neural Latents Benchmark '21
  ☆59Updated 6 months ago
• lposani / decodanda
  Decoding and geometrical analysis of neural activity with built-in best practices
  ☆34Updated 3 months ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆28Updated 2 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• kqshan / MoDT
  Mixture of drifting t-distribution model for sorting spikes and measuring unit isolation
  ☆11Updated 5 years 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
  ☆36Updated 3 years ago
• arsedler9 / lfads-torch
  A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.
  ☆93Updated 2 weeks ago
• glaserlab / sca
  Sparse component analysis
  ☆26Updated this week
• SjulsonLab / methods_class
  "Approaches to Study Neural Circuits" course
  ☆65Updated 2 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