Alternatives and similar repositories for glmhmm

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

• nicholas-roy / psytrack
  ☆56Updated 7 months ago
• zashwood / glm-hmm
  Code to reproduce figures for "Mice alternate between discrete strategies during perceptual decision-making" from Ashwood, Roy, Stone, IB…
  ☆51Updated 2 years ago
• egokcen / DLAG
  A dimensionality reduction framework for disentangling the flow of signals between populations of neurons
  ☆33Updated 2 months ago
• murthylab / GLMHMM
  ☆24Updated 5 years ago
• bantin / jPCA
  jPCA for Neural Data Analysis in Python
  ☆50Updated 2 years ago
• lposani / decodanda
  Decoding and geometrical analysis of neural activity with built-in best practices
  ☆45Updated 6 months ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆55Updated 7 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆59Updated 3 years ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆50Updated last month
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆71Updated 5 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆47Updated 6 years ago
• glaserlab / sca
  Sparse Component Analysis: An unsupervised method for recovering interpretable latent factors
  ☆28Updated 8 months ago
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆43Updated 6 years ago
• rajanlab / CURBD
  Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)
  ☆54Updated 4 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆24Updated last week
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆70Updated 2 years ago
• PeyracheLab / Class-Decoding
  Supervised and unsupervised techniques to decode signals from a population of neurons: the case of head-direction cells.
  ☆12Updated 5 years ago
• NeurodataWithoutBorders / matnwb
  A Matlab interface for reading and writing NWB files
  ☆55Updated this week
• egokcen / mDLAG
  A dimensionality reduction framework for characterizing the multi-dimensional, concurrent flow of signals across multiple neuronal popula…
  ☆15Updated 6 months ago
• YunzheLiu / TDLM
  methods & simulation code to measure sequential replay
  ☆42Updated 4 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆39Updated 2 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆107Updated last week
• kstach01 / CogModelingRNNsTutorial
  ☆55Updated last year
• snel-repo / ComputationThroughDynamicsToolkit
  ☆26Updated last week
• NeuroNetMem / PowerPixelsPipeline
  ☆21Updated 2 weeks ago
• nsteinme / steinmetz-et-al-2019
  Code accompanying Steinmetz et al., 2019
  ☆60Updated 4 years ago
• ShanechiLab / PyPSID
  Preferential Subspace Identification Algorithm
  ☆54Updated 5 months ago
• GiocomoLab / ln-model-of-mec-neurons
  Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…
  ☆23Updated 3 years ago
• EnnyvanBeest / UnitMatch
  Ephys toolbox to match single units (electrophysiology) either within the same day (over splits) or across two days
  ☆70Updated last week
• DurstewitzLab / CNS-2023
  A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks
  ☆39Updated last year