derdikman / Dordek-et-al.-Matlab-code
This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-negative PCA" by Yedidyah Dordek, Daniel Soudry, Ron Meir and Dori Derdikman
☆19Updated 8 years ago
Alternatives and similar repositories for Dordek-et-al.-Matlab-code:
Users that are interested in Dordek-et-al.-Matlab-code are comparing it to the libraries listed below
- repository for grid cell network code☆61Updated 2 years ago
- Code for Task representations in neural networks trained to perform many cognitive tasks☆163Updated 6 years ago
- Code for Galgali et al, 2023☆12Updated 2 years ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆32Updated 6 years ago
- Flexible modulation of sequence generation in the entorhinal-hippocampal system.☆13Updated 2 years ago
- Analysis for grid cells, grid fields, and head direction.☆18Updated 4 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆49Updated 3 years ago
- methods & simulation code to measure sequential replay☆41Updated 3 years ago
- FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks☆92Updated 6 months ago
- Code to train low-rank RNNs on cognitive tasks & reproduce experiments from populations paper☆25Updated 2 years ago
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Short-term plasticity RNN models in Tensorflow☆34Updated 5 years ago
- Lu, Q., Hasson, U., & Norman, K. A. (2022). A neural network model of when to retrieve and encode episodic memories. eLife☆40Updated 3 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago
- ☆49Updated 2 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆34Updated 2 years ago
- Fitting low-rank RNNs to neural trajectories (LINT method).☆16Updated 2 years ago
- Python tools for participating in Neural Latents Benchmark '21☆59Updated 7 months ago
- jPCA for Neural Data Analysis in Python☆46Updated last year
- The code for the simulations in Simon N Weber & Henning Sprekeler: 'Learning place cells, grid cells and invariances with excitatory and …☆8Updated 7 years ago
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆22Updated 6 years ago
- Tutorial codes for modeling brains with neural nets☆215Updated 3 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆28Updated 2 years ago
- Code for Inception Loop 2019 Paper☆14Updated 5 years ago
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆64Updated last year
- IBL foundation model☆18Updated 2 months ago
- A Guide to Reconstructing Dynamical Systems from Neural Measurements Using Recurrent Neural Networks☆32Updated 10 months ago
- code to fit GLMs, HMMs, and GLM-HMMs (aka IO-HMMs)☆28Updated 6 months ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆49Updated 8 years ago