Alternatives and similar repositories for LMT

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

• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆19Updated 8 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
• MouseLand / stringer-pachitariu-et-al-2018a
  Recordings of 10k neurons during spontaneous behaviors
  ☆54Updated last year
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 4 years ago
• ikinsella / locaNMF
  Pytorch implementation of LocaNMF
  ☆36Updated 5 years ago
• paninski-lab / yass
  YASS: Yet Another Spike Sorter
  ☆70Updated 3 years ago
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆71Updated 5 years ago
• KordingLab / spykesML
  A class for using ML algorithms for spike prediction
  ☆61Updated 7 years ago
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆46Updated last week
• flatironinstitute / ironclust
  Spike sorting software being developed at Flatiron Institute, based on JRCLUST (Janelia Rocket Cluster)
  ☆29Updated 3 years 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
• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 8 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆58Updated 9 months ago
• KordingLab / spykes
  Tools for spike data analysis and visualization
  ☆109Updated 2 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆46Updated 6 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆50Updated 3 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆54Updated 9 years ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆32Updated 10 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 6 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 4 years ago
• nicholas-roy / psytrack
  ☆56Updated 9 months ago
• arnefmeyer / lnpy
  Python code for estimation of linear-nonlinear model parameters
  ☆21Updated 4 years ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆37Updated 7 years ago
• xjwanglab / pyrl
  ☆19Updated 9 years ago
• AllenInstitute / neuroglia
  a Python machine learning library for neurophysiology data
  ☆36Updated 7 years ago
• int-brain-lab / mtscomp
  Multichannel time series lossless compression in pure Python based on NumPy and zlib
  ☆41Updated 8 months ago
• Eden-Kramer-Lab / replay_trajectory_classification
  State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data
  ☆52Updated 2 months ago
• baccuslab / pyret
  Python tools for analysis of neurophysiology data
  ☆37Updated 2 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆70Updated 2 years ago
• jbakermans / ManifoldTutorial
  Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)
  ☆20Updated 4 years ago