Alternatives and similar repositories for dmd-neuro

Users that are interested in dmd-neuro are comparing it to the libraries listed below

• montaltoalessandro / MuTE
  ☆11Updated 7 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 7 years ago
• ahwillia / tensor-demo
  A quickstart guide to tensor decomposition
  ☆72Updated 3 years ago
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆50Updated 9 years ago
• flatironinstitute / ironclust
  Spike sorting software being developed at Flatiron Institute, based on JRCLUST (Janelia Rocket Cluster)
  ☆28Updated 3 years ago
• slinderman / pyhsmm_spiketrains
  Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.
  ☆14Updated 7 years ago
• cunni / ldr
  code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
  ☆27Updated 8 years ago
• aecker / gpfa
  Gaussian Process Factor Analysis
  ☆30Updated 10 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 6 years ago
• neuromethods / inference-for-integrate-and-fire-models
  Analytical methods for efficient inference of integrate-and-fire circuit models from single-trial spike trains
  ☆10Updated 5 years ago
• BrainDynamicsUSYD / nftsim
  C++ library for simulation of multiscale neural field dynamics
  ☆34Updated 6 years ago
• espenhgn / ViSAPy
  Python package for generating benchmark data for evaluating spike sorting methods
  ☆21Updated 4 years ago
• libertyh / ising-model
  Fit an Ising model with neural spike train data using Minimum Probability Flow Learning. Based on code from Jascha Sohl-Dickstein.
  ☆18Updated 8 years ago
• ahwillia / PyNeuron-Toolbox
  Some python functions to supplement the NEURON python module
  ☆29Updated 6 years ago
• SachsLab / IntracranialNeurophysDL
  A short course for getting started with deep learning for intracranial extracellular neurophysiology.
  ☆34Updated 3 years ago
• Arsha89 / AGC_Analysis
  Extracting neuronal functional network dynamics via adaptive Granger causality analysis
  ☆18Updated 7 years ago
• lindermanlab / PPSeq.jl
  Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains
  ☆67Updated 2 years ago
• aiweber / GLM_and_Izhikevich
  This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…
  ☆12Updated 2 years ago
• rutishauserlab / recogmem-release-NWB
  A NWB-based Dataset and Processing Pipeline of Human Single-Neuron Activity During a Declarative Memory Task
  ☆21Updated 6 months ago
• flatironinstitute / spikeforest_old
  SpikeForest -- spike sorting analysis for website
  ☆16Updated 5 years ago
• mind-inria / picard
  Preconditioned ICA for Real Data
  ☆113Updated last month
• DynaSim / DynaSim
  DynaSim toolbox for modeling and simulating dynamical systems
  ☆61Updated 6 months ago
• ShanechiLab / DynamicStimulation
  ☆18Updated 4 years ago
• brian-lau / highdim
  Statistics for high-dimensional data (homogeneity, sphericity, independence, spherical uniformity)
  ☆19Updated last year
• tapios / arfit
  ARfit: Multivariate Autoregressive Model Fitting
  ☆28Updated 8 years ago
• mne-tools / mne-hcp
  MNE-HCP for processing the Human Connectome Project MEG data using MNE-Python
  ☆26Updated last year
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆50Updated 3 years ago
• JohnGriffiths / mne-dcm
  Dynamic Causal Modelling for MNE and the nipy ecosystem
  ☆22Updated 7 years ago
• benfulcher / hctsaTutorial_BonnEEG
  hctsa tutorial using the five-class Bonn EEG dataset
  ☆31Updated 2 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago