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:
- Fitting low-rank RNNs to neural trajectories (LINT method).☆17Updated 3 months ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 7 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 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
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- repository for grid cell network code☆63Updated 2 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
- Implementation of fixed point analysis for Recurrent Neural Network.☆21Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆97Updated 10 months ago
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 7 years ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆21Updated 2 months ago
- Models and simulations for state space composition☆17Updated 6 months ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆12Updated 2 years ago
- ☆23Updated last year
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆38Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA