LDlabs / seqMultiTaskRNNLinks
sequential learning in orthogonal subspaces
☆13Updated 4 years ago
Alternatives and similar repositories for seqMultiTaskRNN
Users that are interested in seqMultiTaskRNN are comparing it to the libraries listed below
Sorting:
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆35Updated 7 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆100Updated last year
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Recurrent Switching Linear Dynamical Systems☆112Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 6 months ago
- repository for grid cell network code☆65Updated 2 years ago
- ☆23Updated 2 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆140Updated last year
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 6 years ago
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- Gaussian Process Factor Analysis☆30Updated 10 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- ☆50Updated 4 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆68Updated 2 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆38Updated last year
- ☆11Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆24Updated 5 months ago
- Poisson Identifiable VAE (pi-VAE)☆52Updated 4 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Analysis of hippocampal activity in the towers task☆20Updated 4 years ago
- Tutorial codes for modeling brains with neural nets☆234Updated 4 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆17Updated 4 years ago
- This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-nega…☆19Updated 9 years ago
- Recordings of 10k neurons during spontaneous behaviors☆53Updated last year