AminaKeldibek / chaotic_RNN

Related projects ⓘ

Alternatives and complementary repositories for chaotic_RNN

• earcher / vilds
  Black box variational inference for state space models
  ☆1Updated 8 years ago
• neuroailab / Neural-Alignment
  ☆23Updated 4 years ago
• ThomasMiconi / BiologicallyPlausibleLearningRNN
  Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017
  ☆35Updated 5 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
• frsong / pycog
  Train excitatory-inhibitory recurrent neural networks for cognitive tasks.
  ☆48Updated 8 years ago
• lyprince / hierarchical_lfads
  Pytorch implementation of lfads, and hierarchical extension
  ☆26Updated 2 years ago
• j-friedrich / neuralOFC
  Neural Optimal Feedback Control
  ☆11Updated 2 years ago
• catniplab / tree_structured_rslds
  Tree-structured recurrent switching linear dynamical systems
  ☆36Updated 4 years ago
• slinderman / thesis
  My PhD Thesis
  ☆21Updated 8 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…
  ☆60Updated last year
• slinderman / pyglm
  Interpretable neural spike train models with fully-Bayesian inference algorithms
  ☆48Updated 6 years ago
• waq1129 / LMT
  latent manifold tuning model / P-GPLVM
  ☆12Updated 5 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆109Updated 8 months 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
• dmcnamee / FlexModEHC
  Flexible modulation of sequence generation in the entorhinal-hippocampal system.
  ☆12Updated 2 years ago
• cunni / ldr
  code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
  ☆25Updated 8 years ago
• BerenMillidge / NeuralKalmanFiltering
  Code for the simulations in the neural Kalman filtering paper
  ☆16Updated 3 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 7 years ago
• kaiu85 / hm-rnn
  PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks
  ☆15Updated 5 years ago
• arvoelke / nengolib
  Nengo library of additional extensions
  ☆29Updated last year
• marcelomattar / PrioritizedReplay
  Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…
  ☆26Updated 6 years ago
• ahwillia / mit-tensor
  ☆28Updated 5 years ago
• catniplab / vlgp
  Dimensionality reduction of spikes trains
  ☆48Updated 3 years ago
• libilab / PCN-with-Global-Recurrent-Processing
  Code for "Deep predictive coding network for object recognition"
  ☆23Updated 4 years ago
• sheqi / GP-RNN_UAI2019
  Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…
  ☆40Updated last year
• willwx / sign-symmetry
  ☆27Updated 5 years ago
• tripdancer0916 / pytorch-fixed-point-analysis
  Implementation of fixed point analysis for Recurrent Neural Network.
  ☆19Updated 4 years ago
• ixaxaar / pytorch-sublstm
  subLSTMs for pytorch from Cortical microcircuits as gated-recurrent neural networks
  ☆16Updated 6 years ago
• ganguli-lab / proxalgs
  Proximal algorithms and operators in python
  ☆25Updated 5 years ago