lfads / modelsLinks
Models and examples built with TensorFlow
☆15Updated 5 years ago
Alternatives and similar repositories for models
Users that are interested in models are comparing it to the libraries listed below
Sorting:
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆51Updated 4 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 6 years ago
- Code for Galgali et al, 2023☆14Updated 3 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 4 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆18Updated 10 months ago
- ☆83Updated 3 years ago
- ☆78Updated 3 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆37Updated 7 years ago
- Analysis of hippocampal activity in the towers task☆23Updated 4 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆104Updated last year
- Short-term plasticity RNN models in Tensorflow☆36Updated 6 years ago
- ConvRNN Model Zoo: ImageNet pre-trained convolutional recurrent neural networks☆35Updated 2 years ago
- ☆24Updated 2 years ago
- repository for grid cell network code☆73Updated 3 years ago
- latent manifold tuning model / P-GPLVM☆13Updated 6 years ago
- Simulations illustrating the results of full-FORCE.☆13Updated 6 years ago
- This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-nega…☆21Updated 9 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆70Updated 2 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 4 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆55Updated 5 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated 2 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆169Updated 7 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 3 years ago
- Python tools for participating in Neural Latents Benchmark '21☆66Updated last week
- ☆29Updated 3 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆40Updated 9 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 8 years ago
- Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-i…☆87Updated 3 weeks ago