elipollock / EMPJLinks
Everything needed to replicate the figures from the paper "Engineering recurrent neural networks from task-relevant manifolds and dynamics" (Pollock and Jazayeri, 2019)
☆12Updated 5 years ago
Alternatives and similar repositories for EMPJ
Users that are interested in EMPJ are comparing it to the libraries listed below
Sorting:
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆18Updated 8 years ago
- Some python functions to supplement the NEURON python module☆29Updated 6 years ago
- Fast approximate inference for Poisson GLMs☆11Updated 5 years ago
- ☆19Updated 8 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆50Updated 9 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 6 years ago
- A TensorFlow 2.0 implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.☆22Updated 2 years ago
- This repository contains code for (1) generating example neural responses from an Izhikevich model, and (2) fitting a GLM to neural respo…☆13Updated 2 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆38Updated 9 years ago
- A very simple and barebones tensor decomposition library for CP decomposition a.k.a. PARAFAC a.k.a. TCA☆39Updated last year
- When do neural networks learn sequential vs. persistent solutions in short-term memory tasks?☆16Updated 6 years ago
- Gaussian Process Factor Analysis☆30Updated 10 years ago
- Recurrent state-space models for decision making☆30Updated 2 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
- Official code for Conformal Isometry of Lie Group Representation in Recurrent Network of Grid Cells (NeurIPS workshop on Symmetry and Geo…☆11Updated 2 years ago
- ☆12Updated 2 years ago
- Code for Galgali et al, 2023☆13Updated 2 years ago
- Dimensionality reduction of spikes trains☆49Updated 4 years ago
- Tools for spike data analysis and visualization☆108Updated 2 years ago
- Recordings of 10k neurons during spontaneous behaviors☆54Updated last year
- This code package is for the Corrected-Fisher-Randomization (CFR) method. This method generates random surrogate data that preserves a sp…☆10Updated 8 years ago
- Code for fitting neural spike trains with nonparametric hidden Markov and semi-Markov models built upon mattjj's PyHSMM framework.☆15Updated 7 years ago
- sequential learning in orthogonal subspaces☆13Updated 4 years ago
- Code accompanying the paper: Mattar, M. G., & Daw, N. D. (2018). Prioritized memory access explains planning and hippocampal replay. bioR…☆31Updated 7 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 3 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
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 7 years ago
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 7 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆69Updated 2 years ago
- MatLab code for Srpinger book 'Advanced Data Analysis in Neuroscience'☆21Updated 7 years ago