Alternatives and similar repositories for stringer-pachitariu-et-al-2018a

Users that are interested in stringer-pachitariu-et-al-2018a are comparing it to the libraries listed below

• gamaleldin / TME
  This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …
  ☆18Updated 7 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆48Updated 3 years ago
• pillowlab / LNPfitting
  Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood
  ☆18Updated 7 years ago
• lfads / lfads-run-manager
  Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)
  ☆49Updated 3 years ago
• joao-semedo / communication-subspace
  Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)
  ☆46Updated 5 years ago
• paninski-lab / yass
  YASS: Yet Another Spike Sorter
  ☆66Updated 2 years ago
• nicholas-roy / psytrack
  ☆54Updated 3 months ago
• dmeliza / biopreprint
  Preprint classes for biological journals
  ☆30Updated 4 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
• KordingLab / spykesML
  A class for using ML algorithms for spike prediction
  ☆60Updated 7 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆67Updated last year
• j-friedrich / OASIS
  Deconvolution of calcium imaging data
  ☆96Updated 5 months ago
• cunni / ldr
  code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
  ☆27Updated 8 years ago
• baccuslab / pyret
  Python tools for analysis of neurophysiology data
  ☆37Updated last year
• nsteinme / steinmetz-et-al-2019
  Code accompanying Steinmetz et al., 2019
  ☆60Updated 3 years ago
• marius10p / NeuralDataScienceCSHL2019
  Coding exercises for Neural Data Science at CSHL in 2019
  ☆29Updated 5 years ago
• AllenInstitute / neuroglia
  a Python machine learning library for neurophysiology data
  ☆36Updated 6 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆35Updated last year
• MouseLand / EnsemblePursuit
  ☆9Updated 5 years ago
• pillowlab / GLMspiketools
  Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).
  ☆40Updated 5 years ago
• mackelab / smc_rnns
  Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals
  ☆21Updated 2 months ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆68Updated 5 years ago
• pillowlab / neuroGLM
  Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).
  ☆70Updated 5 years ago
• mackelab / CorBinian
  CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations
  ☆19Updated 3 years ago
• zivlab / island
  Revealing neural correlates of behavior without behavioral measurements
  ☆14Updated 5 years ago
• pillowlab / GLMspiketraintutorial_python
  ☆54Updated 2 years ago
• neuromusic / crcnsget
  cli for downloading data from crcns.org
  ☆31Updated last year
• schultzlab / Neural_Manifolds
  A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…
  ☆25Updated last year
• int-brain-lab / ibllib
  IBL core shared libraries
  ☆63Updated last week