python implementations of Analyzing Neural Time Series Textbook

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.

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

A generalised Gaussian process method for learning vector fields over non-Euclidean domains. Particularly useful for EEG data analysis and to regularise vector fields using global structures.

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

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

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

Classifies rock-paper-scissors hand gestures from optically pumped magnetometer (OPM) data recorded at the University of Nottingham.

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

Neural Data Analysis Program is designed to process and analyze neural data.

Python code for the Neural Signal Processing and Analysis Course given by Mike X Cohen.

Simulates EEG data representing sensorimotor rhythms. Develops and compares spatial filters for neural source reconstruction.

Implements EEG-based neurofeedback experiments with PsychoPy. Analyzes neural activity for performance changes.

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

Analyzes motor imagery from EEG data to extract ERD/ERS curves as part of the Neuroengineering Python workshop at the Technical University of Munich.

MATLAB tools for analysis and visualization of neural data

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

Predicts people’s stress levels from their resting-state EEG recordings in the LEMON dataset.

The Humphries' lab manual