Alternatives and similar repositories for CorticalDynamics:

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

• irisstone / glmhmm
  code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)
  ☆29Updated 7 months ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆47Updated last year
• saxenalab-neuro / muSim
  Soft Actor Critic for training musculoskeletal models
  ☆11Updated 6 months ago
• snel-repo / ComputationThroughDynamicsBenchmark
  ☆19Updated last month
• nicholas-roy / psytrack
  ☆50Updated 3 weeks ago
• OlivierCodol / MotorNet
  A package to train neural networks to perform various motor tasks
  ☆63Updated last month
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆48Updated 2 weeks ago
• PeyracheLab / StarterPack
  Tutorial
  ☆10Updated 4 years ago
• PeyracheLab / Class-Decoding
  Supervised and unsupervised techniques to decode signals from a population of neurons: the case of head-direction cells.
  ☆12Updated 4 years ago
• pillowlab / GLMspiketraintutorial_python
  ☆48Updated 2 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆29Updated 2 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
  ☆37Updated 3 years ago
• catniplab / NPGLM
  non-parametric inference for convolutional filters in poisson glms
  ☆13Updated 3 years ago
• anirgalgali / residual-dynamics
  Code for Galgali et al, 2023
  ☆13Updated 2 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆65Updated last year
• murthylab / GLMHMM
  ☆22Updated 5 years ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆43Updated last year
• slinderman / ml4nd
  Machine Learning Methods for Neural Data Analysis
  ☆13Updated 7 months ago
• glaserlab / sca
  Sparse component analysis
  ☆26Updated last month
• namboodirilab / ANCCR
  ☆13Updated last year
• joshcash9 / Neuromechanics_Course
  Neuromechanics_Course_2020
  ☆50Updated last month
• SaberaTalukder / Chen_Institute_DataSAI_for_Neuroscience
  ☆29Updated 2 years ago
• pauljaffe / task-dyva
  ☆14Updated 5 months ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆52Updated 4 years ago
• BenjoCowley / DataHigh
  DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
  ☆17Updated 6 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆45Updated 5 years ago
• lposani / decodanda
  Decoding and geometrical analysis of neural activity with built-in best practices
  ☆35Updated 4 months ago
• spiketools / spiketools
  Tools for analyzing spiking data from single-neuron recodings.
  ☆26Updated 2 weeks 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
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆93Updated this week