CINPLA / spatial-maps
Analysis for spatially modulated spiking activity, e.g. place cells, grid cells
☆18Updated 5 months ago
Alternatives and similar repositories for spatial-maps:
Users that are interested in spatial-maps are comparing it to the libraries listed below
- MATLAB Package for Neural Data☆12Updated 2 years ago
- repository for grid cell network code☆61Updated 2 years ago
- Tutorial☆10Updated 4 years ago
- A SciUnit library for validation testing of spiking neural network models.☆16Updated 8 months ago
- This repository serves as a container for material around the Brian simulator, such as presentations and tutorials.☆40Updated 4 months ago
- Code implements the LN model used to describe spike trains of MEC neurons based on the animal's position, head direction, speed, and thet…☆23Updated 2 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
- A course given at the 2017 Canadian Neuroscience meeting, Neural Signal Analysis Satellite.☆14Updated 6 years ago
- ☆49Updated 2 years ago
- jPCA for Neural Data Analysis in Python☆48Updated last year
- State space models for decoding hippocampal trajectories and determining their type using sorted or clusterless data☆48Updated 7 months ago
- Python-module for calculation of extracellular potentials from multicompartment neuron models and networks☆79Updated 3 months ago
- Supplementary code for the paper "Linking connectivity, dynamics and computations in low-rank recurrent neural networks" by F. Mastrogius…☆34Updated 6 years ago
- CoNNECT: Convolutional Neural Network for Estimating synaptic Connectivity from spike Trains. Endo et al., bioRxiv (2020).☆10Updated 2 years ago
- Fitting and analysis of trial-based neural spike responses with Generalized Linear Model (GLM).☆68Updated 4 years ago
- ☆16Updated 2 years ago
- A repository of neural manifold techniques described and compared in "Neural manifold analysis of brain circuit dynamics in health and di…☆25Updated last year
- Code accompanying Steinmetz et al., 2019☆59Updated 3 years ago
- This reading list is centered around the practical application of linear dynamical systems models to predict neural data☆38Updated 3 years ago
- WIP: Python port of Kilosort2☆50Updated last year
- Code to train and analyze multi-region data-constrained RNNs and perform Current-Based Decomposition (CURBD)☆52Updated 4 years ago
- Accompanying code for Aljadeff et al., 'Analysis of Neuronal Spike Trains, Deconstructed', Neuron (2016)☆10Updated 8 years ago
- GLMCC: The generalized linear model for spike cross-correlation (Kobayashi et al., Nature Communications, 2019)☆35Updated 2 years ago
- This repository contains the Matlab code for "Extracting grid characteristics from spatially distributed place cell inputs using non-nega…☆19Updated 9 years ago
- Codepack accompanying "Learning by neural reassociation," Nature Neuroscience, 2018.☆22Updated 6 years ago
- A dimensionality reduction framework for disentangling the flow of signals between populations of neurons☆29Updated 2 years ago
- Code accompanying Inferring stochastic low-rank RNNs from neural data. @matthijspals☆19Updated this week
- A MATLAB toolbox for performing information theory analyses of neuroscience data☆73Updated 7 years ago
- Software for high density electrophysiology☆29Updated 2 months ago
- NeuroPyxels (npyx) is a python library built for electrophysiologists using Neuropixels electrodes. This package stems from the need of a…☆120Updated 2 months ago