Alternatives and similar repositories for SORN:

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

• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆47Updated 6 years ago
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 7 years ago
• slinderman / theano_pyglm
  Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…
  ☆44Updated 10 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆112Updated last year
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆49Updated 9 years ago
• baccuslab / inferring-hidden-structure-retinal-circuits
  Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
  ☆14Updated 3 years ago
• stwisdom / urnn
  Code for paper "Full-Capacity Unitary Recurrent Neural Networks"
  ☆54Updated 7 years ago
• arayabrain / GenerativeControl
  Code for a generative controller for the AI Gym cartpole task
  ☆15Updated 8 years ago
• ericjang / RNN-dynamics
  Code and report for APMA136 Final Project
  ☆19Updated 9 years ago
• baccuslab / deep-retina
  deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…
  ☆54Updated last year
• mrkulk / SequentialInference
  Dirichlet Process Mixture using PVI, SMC, Variational
  ☆15Updated 10 years ago
• lisa-lab / GSN
  Efficient implementation of Generative Stochastic Networks
  ☆12Updated 11 years ago
• chahuja / lru
  Lattice Recurrent Unit: Improving Convergence and Statistical Efficiency for Sequence Modeling
  ☆36Updated 7 years ago
• kaiu85 / hm-rnn
  PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks
  ☆15Updated 6 years ago
• slinderman / thesis
  My PhD Thesis
  ☆22Updated 8 years ago
• petered / spiking-mlp
  A Spiking Multi-Layer Perceptron
  ☆33Updated 7 years ago
• andymiller / ReducedVarianceReparamGradients
  Reducing Reparameterization Gradient Variance code.
  ☆33Updated 7 years ago
• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• kaiu85 / deepAI
  ☆16Updated 7 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 5 years ago
• mackelab / autohmm
  Hidden Markov Models (HMMs) with tied states and autoregressive observations
  ☆23Updated 4 years ago
• brian-team / brian
  Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…
  ☆59Updated 2 years ago
• eneftci / eCD
  Event-Driven CD in Spiking Neural Networks
  ☆20Updated 9 years ago
• AminaKeldibek / chaotic_RNN
  Chaotic Recurrent Neural Network model
  ☆17Updated 8 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 7 years ago
• cmaddis / astar-sampling
  A generic Monte Carlo method based on the Gumbel-Max trick.
  ☆32Updated 8 years ago
• lucastheis / cmt
  Fast CPU implementations of several conditional probabilistic models
  ☆36Updated last year
• 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 7 years ago
• ahwillia / mit-tensor
  ☆28Updated 6 years ago
• team-hdnet / hdnet
  hdnet - Hopfield denoising network
  ☆13Updated 2 years ago