python implementations of Analyzing Neural Time Series Textbook

Decoding and geometrical analysis of neural activity with built-in best practices

Package for the data-driven representation of non-linear dynamics over manifolds based on a statistical distribution of local phase portrait features. Includes specific example on dynamical systems, synthetic- and real neural datasets. https://agosztolai.github.io/MARBLE/

Exemplar code for: Gava, G.P. et al. Integrating new memories into the hippocampal network activity space. Nat Neurosci 24, 326–330 (2021).

MATLAB implementation of a rectified latent variable model for analysis of neural time series data.

We present a probabilistic model for neural spike counts that can capture arbitrary single neuron and joint statistics with their modulation by external covariates.

Modeling Perception using Curriculum Learning, Transfer Learning to make incremental steps towards a generalizable model of perception and its AI applications

This is a neural data science project to investigate relationships between music and depression using Neural Data Science Techniques

MATLAB tools for analysis and visualization of neural data

Official repo for NeurReps 2022 paper, "On the Level Sets and Invariance of Neural Tuning Landscapes". Analyze level sets on the tuning landscape of neurons and artificial units

This repository contains MATLAB scripts for analysing neural data, with a focus on documentation and collaboration.

Analysis of the neural simulation data from NEST Simulator. The following analysis is part of solution for the semestral project for Informatics and Cognitive Science II from Faculty of Math and Physics of Charles University in Prague.

The Humphries' lab manual