briandepasquale / full-FORCE-demos
Simulations illustrating the results of full-FORCE.
☆13Updated 5 years ago
Alternatives and similar repositories for full-FORCE-demos:
Users that are interested in full-FORCE-demos are comparing it to the libraries listed below
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆93Updated 5 months ago
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated last year
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Code for Galgali et al, 2023☆12Updated 2 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆19Updated last year
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆26Updated 2 years ago
- ☆46Updated 2 years ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆28Updated 9 months ago
- ☆72Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 9 months ago
- ☆29Updated 2 years ago
- ☆69Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- ☆16Updated 4 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆39Updated 3 months ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- ☆17Updated 2 years ago
- Recurrent convolutional neural networks for object recognition☆18Updated 4 years ago
- methods & simulation code to measure sequential replay☆41Updated 3 years ago
- Python code for estimation of linear-nonlinear model parameters☆22Updated 3 years ago
- jPCA for Neural Data Analysis in Python☆45Updated last year
- Analysis code for the OpenScope Credit Assignment project.☆11Updated 6 months ago
- ☆28Updated 10 months ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 4 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆21Updated 3 years ago
- Poisson Identifiable VAE (pi-VAE)☆50Updated 3 years ago
- ☆49Updated 4 years ago