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…☆34Updated 6 years ago
- ☆70Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 3 weeks ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆18Updated 7 years ago
- Pytorch implementation of lfads, and hierarchical extension☆26Updated 3 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- ☆49Updated 2 years ago
- ☆16Updated 4 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆33Updated last year
- Notebooks from the workshop tutorial implementing and discussing a range of generative models commonly used in neuroscience.☆39Updated 2 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆66Updated last year
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆21Updated last year
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- ☆29Updated 2 years ago
- Matlab exercises with solutions to implement and visualise concepts from Sara Solla's talk on World Wide Neuro (Apr 29, 2020)☆20Updated 4 years ago
- Gaussian Process Factor Analysis with Dynamical Structure☆16Updated 4 years ago
- Recurrent convolutional neural networks for object recognition☆18Updated 4 years ago
- Fitting and simulation of Poisson generalized linear model for single and multi-neuron spike trains (Pillow et al 2008).☆37Updated 5 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆95Updated 8 months ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 years ago
- ☆48Updated 3 years ago
- jPCA for Neural Data Analysis in Python☆47Updated last year
- Analysis code for the OpenScope Credit Assignment project.☆11Updated 9 months ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆50Updated last year
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆45Updated 5 years ago
- Library to perform Slice Tensor Component Analysis (sliceTCA)☆49Updated last month
- 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
- 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