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

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

Rock paper scissors classfication from optically pumped magnetometers (OPM) 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.

Neural Data Analysis Program is designed to process and analyze 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

EEG analysis tutorial for extracting ERD/ERS curves from motor imagery data.