plenoptic-org / plenoptic

Related projects ⓘ

Alternatives and complementary repositories for plenoptic

• gallantlab / pymoten
  Motion energy features from video
  ☆31Updated last month
• flatironinstitute / nemos
  NEural MOdelS, a statistical modeling framework for neuroscience.
  ☆82Updated this week
• ahwillia / netrep
  Some methods for comparing network representations in deep learning and neuroscience.
  ☆125Updated 3 months ago
• pillowlab / GLMspiketraintutorial_python
  ☆46Updated 2 years ago
• cjspoerer / rcnn-sat
  Recurrent convolutional neural networks for object recognition
  ☆17Updated 4 years ago
• paninski-lab / yass
  YASS: Yet Another Spike Sorter
  ☆64Updated 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)
  ☆21Updated 3 years ago
• arthur-pe / slicetca
  Library to perform Slice Tensor Component Analysis (sliceTCA)
  ☆35Updated last month
• sompolinsky-lab / dnn-object-manifolds
  ☆46Updated 3 years ago
• neuroailab / convrnns
  ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks
  ☆28Updated last year
• jniediek / combinato
  Automatic spike sorting, cluster visualization, spike sorting GUIs
  ☆42Updated 11 months 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…
  ☆74Updated 2 months ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• cvai-roig-lab / Net2Brain
  ☆71Updated this week
• gallantlab / tikreg
  Tikhonov regression in python
  ☆28Updated 11 months ago
• davindicode / cosyne-2023-generative-models
  Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.
  ☆39Updated last year
• LorenFrankLab / spyglass
  Neuroscience data analysis framework for reproducible research built by Loren Frank Lab at UCSF
  ☆94Updated this week
• kstach01 / CogModelingRNNsTutorial
  ☆46Updated 6 months ago
• berenslab / RFEst
  A Python 3 toolbox for neural receptive field estimation using splines and Gaussian priors.
  ☆24Updated 2 months ago
• fmastrogiuseppe / LowRank
  Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…
  ☆32Updated 6 years ago
• viscog-cmu / ITN
  Modeling cortical visual topography with interactive topographic network (ITN) models
  ☆14Updated 2 years ago
• marius10p / NeuralDataScienceCSHL2019
  Coding exercises for Neural Data Science at CSHL in 2019
  ☆28Updated 4 years ago
• tachukao / mgplvm-pytorch
  ☆24Updated last year
• JaneliaMLCourse / MathClub
  mathematical methods for neuroscience and machine learning
  ☆23Updated 5 years ago
• nrdg / fracridge
  Fractional ridge regression
  ☆44Updated 2 years ago
• sinzlab / nnfabrik
  A generalized model fitting pipeline that houses models, trainers, and datasets in datajoint and returns as well as stores trained models…
  ☆17Updated 7 months ago
• patrickmineault / research_code
  Writing good research code
  ☆110Updated 2 years ago
• ahwillia / tensortools
  A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA
  ☆32Updated last year
• NeurodataWithoutBorders / matnwb
  A Matlab interface for reading and writing NWB files
  ☆49Updated this week
• anne-urai / largescale_recordings
  Urai AE, Doiron B, Leifer AM & Churchland AK (2022) Large-scale neural recordings call for new insights to link brain and behavior. Natur…
  ☆18Updated 2 years ago