AminaKeldibek / chaotic_RNNLinks
Chaotic Recurrent Neural Network model
☆17Updated 9 years ago
Alternatives and similar repositories for chaotic_RNN
Users that are interested in chaotic_RNN are comparing it to the libraries listed below
Sorting:
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- ☆115Updated last year
- PyTorch Implementation of Hierarchical Multiscale Recurrent Neural Networks☆15Updated 6 years ago
- My PhD Thesis☆22Updated 9 years ago
- Tree-structured recurrent switching linear dynamical systems☆37Updated 5 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Generalized linear models for neural spike train modeling, in Python! With GPU-accelerated fully-Bayesian inference, MAP inference, and n…☆45Updated 11 years ago
- Modeling animal vocalizations with VAEs☆18Updated 4 years ago
- 🕝 Time-warped principal components analysis (twPCA)☆127Updated 4 years ago
- Biologically-realistic recurrent convolutional neural networks☆98Updated 2 years ago
- A quickstart guide to tensor decomposition☆72Updated 3 years ago
- Code for "Deep predictive coding network for object recognition"☆25Updated 5 years ago
- Neural model of hierarchical reinforcement learning☆16Updated 8 years ago
- ☆98Updated 7 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆37Updated 6 years ago
- Implementaion of Gaussian Process Recurrent Neural Networks developed in "Neural Dynamics Discovery via Gaussian Process Recurrent Neura…☆40Updated 2 years ago
- Code and report for APMA136 Final Project☆19Updated 10 years ago
- Hidden Markov Models (HMMs) with tied states and autoregressive observations☆23Updated 5 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆15Updated 7 years ago
- An ongoing collection of ipython notebooks on neuroscience from xcorr: computational neuroscience.☆78Updated 3 years ago
- Python package that implements Continuous Time Recurrent Neural Networks (CTRNNs)☆44Updated 4 years ago
- Keras for Science☆72Updated 7 years ago
- Nonparametric Bayesian Inference for Sequential Data. Includes state-of-the-art MCMC inference for Beta process Hidden Markov Models (BP…☆78Updated 7 years ago
- Responses of 10,000 neurons to 2,800 natural images☆72Updated 6 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Code for a generative controller for the AI Gym cartpole task☆15Updated 8 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Sticky hierarchical Dirichlet process hidden Markov model for time series denoising☆49Updated 9 years ago
- Brian is a simulator for spiking neural networks available on almost all platforms. This is the legacy version that is no longer develope…☆61Updated 2 years ago