Nicholas M. Tolley

This paper demonstrates how physics-based neural simulations can interpret EEG biomarkers of neurotherapeutics by connecting localized EEG signals to multi-scale neural generators.

This paper introduces a biophysically detailed reservoir computing framework to study how biophysical properties affect cognitive task performance in neural networks.

This paper provides guidelines for applying simulation based inference to estimate parameters in large-scale biophysically detailed neural models, focusing on time series data like MEG/EEG waveforms.