sim-web / spatial_patterns
The code for the simulations in Simon N Weber & Henning Sprekeler: 'Learning place cells, grid cells and invariances with excitatory and inhibitory plasticity'. eLife 2018.
☆8Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for spatial_patterns
- Recordings of 10k neurons during spontaneous behaviors☆50Updated 8 months ago
- Responses of 10,000 neurons to 2,800 natural images☆68Updated 5 years ago
- Grid cell data analysis package.☆6Updated 9 years ago
- This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-nega…☆19Updated 8 years ago
- Problem sets and materials for systems and computational neuroscience course☆15Updated 7 months ago
- ☆25Updated 5 months ago
- Gaussian Process Factor Analysis☆28Updated 9 years ago
- Optimization of single-cell biophysically detailed models☆15Updated 4 years ago
- ☆46Updated 3 years ago
- deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…☆50Updated last year
- Linear-Nonlinear-Poisson (LNP) model fitting via Maximally-Informative-Dimensions (MID) / maximum likelihood☆19Updated 6 years ago
- repository for grid cell network code☆53Updated last year
- This code package is for the Tensor-Maximum-Entropy (TME) method. This method generates random surrogate data that preserves a specified …☆16Updated 7 years ago
- Code for "Biologically plausible learning in recurrent neural networks", Miconi et al. eLife 2017☆35Updated 5 years ago
- Tools for spike data analysis and visualization☆105Updated last year
- Dimensionality reduction of spikes trains☆48Updated 3 years ago
- Interpretable neural spike train models with fully-Bayesian inference algorithms☆48Updated 6 years ago
- Matlab interface for Latent Factor Analysis via Dynamical Systems (LFADS)☆50Updated 2 years ago
- Pytorch implementation of LFADS for demo at CAN workshop☆19Updated 5 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆22Updated 6 years ago
- Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`☆14Updated 3 years ago
- ☆9Updated 4 years ago
- CorBinian: A toolbox for modelling and simulating high-dimensional binary and count-data with correlations☆19Updated 3 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
- Python tools for analysis of neurophysiology data☆36Updated last year
- Neyman-Scott point process model to identify sequential firing patterns in high-dimensional spike trains☆62Updated last year
- methods for detecting/quantifying reactivation and replay in neural data☆10Updated 3 years ago
- latent manifold tuning model / P-GPLVM☆12Updated 5 years ago
- Train excitatory-inhibitory recurrent neural networks for cognitive tasks.☆48Updated 8 years ago
- Code for "Cortical areas interact through a communication subspace", Semedo et al. (Neuron, 2019)☆43Updated 5 years ago