LDlabs / seqMultiTaskRNN
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
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated last month
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- repository for grid cell network code☆61Updated 2 years ago
- ☆23Updated last year
- Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamic…☆12Updated 5 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆11Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- 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
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- ☆48Updated 3 years ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆26Updated last month
- Implementation of fixed point analysis for Recurrent Neural Network.☆20Updated 5 years ago
- ☆51Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆49Updated last year
- ☆11Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated 3 weeks ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆35Updated last year
- ☆15Updated 6 months ago
- Recurrent state-space models for decision making☆30Updated 2 years ago
- ☆77Updated 3 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆97Updated 9 months ago
- Exercises and examples for the latent dynamics workshop☆17Updated last year
- This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-nega…☆19Updated 9 years ago
- Meta-learning local synaptic plasticity for continual familiarity detection☆16Updated 2 years ago
- Some methods for comparing network representations in deep learning and neuroscience.☆137Updated 9 months ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- IBL foundation model☆22Updated 5 months ago
- Poisson Identifiable VAE (pi-VAE)☆51Updated 3 years ago