Alternatives and similar repositories for spikebench

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

• KietzmannLab / EmergentPredictiveCoding
  ☆39Updated last year
• snel-repo / neural-data-transformers
  ☆78Updated 3 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 3 years ago
• schung039 / neural_manifolds_replicaMFT
  ☆73Updated 3 years ago
• slinderman / stats320
  STATS320: Statistical Methods for Neural Data Analysis
  ☆197Updated last month
• mackelab / LDNS
  ☆19Updated 7 months ago
• engellab / neuralflow
  The framework for inferring Langevin dynamics from spike data
  ☆38Updated 2 months 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
• paninski-lab / yass
  YASS: Yet Another Spike Sorter
  ☆68Updated 2 years ago
• pyrates-neuroscience / PyRates
  Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…
  ☆82Updated 10 months ago
• catniplab / NeuroTask
  NeuroTask: A Benchmark Dataset for Multi-Task Neural Analysis
  ☆12Updated 3 months ago
• vruetten / GPFADS
  Gaussian Process Factor Analysis with Dynamical Structure
  ☆16Updated 4 years ago
• sompolinsky-lab / dnn-object-manifolds
  ☆49Updated 3 years ago
• lyprince / lfads_demo
  Pytorch implementation of LFADS for demo at CAN workshop
  ☆19Updated 5 years ago
• BouchardLab / DynamicalComponentsAnalysis
  Dynamical Components Analysis
  ☆32Updated 2 years ago
• adrian-valente / lowrank_inference
  Fitting low-rank RNNs to neural trajectories (LINT method).
  ☆18Updated 3 months ago
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆139Updated 11 months ago
• neuroailab / TDANN
  Topographic Deep Artificial Neural Networks
  ☆52Updated 9 months ago
• mackelab / automind
  Automated Model Inference from Neural Dynamics
  ☆15Updated 2 weeks ago
• arsedler9 / nlb-lightning
  PyTorch Lightning utilities that make it easier to train and evaluate deep models for the Neural Latents Benchmark.
  ☆8Updated 2 years ago
• tachukao / mgplvm-pytorch
  ☆23Updated last year
• JoramKeijser / SVCA
  Estimating the dimensionality of neural data using Shared Variance Component Analysis (SVCA)
  ☆10Updated 8 months ago
• ilennaj / ktree
  Polished code for "Can a single neuron solve MNIST? The computational power of biological dendritic trees”
  ☆46Updated 4 years ago
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆100Updated this week
• themattinthehatt / behavenet
  Toolbox for analyzing behavioral videos and neural activity
  ☆59Updated last year
• sinzlab / sensorium
  Code base for the SENSORIUM competition.
  ☆63Updated 11 months ago
• KrishnaswamyLab / TPHATE
  ☆26Updated 4 months ago
• murraylab / PsychRNN
  ☆139Updated last year
• HennigLab / tndm
  The official re-implementation of the Neurips 2021 paper, "Targeted Neural Dynamical Modeling".
  ☆9Updated 3 years ago
• pillowlab / GLMspiketraintutorial_python
  ☆55Updated 2 years ago