3 papers
eess.SY2026
Dynamics-matched Physical Reservoir Computing for Undersensed Traffic Prediction
Michael McCreesh, Rohit Gupta, Stephen L. Smith
Machine learning methods are increasingly used for traffic prediction in applications such as autonomous driving. Such predictions must be both highly accurate and immediately avai…
q-bio.NC2024
Linear-Threshold Network Models for Describing and Analyzing Brain Dynamics
Michael McCreesh, Erfan Nozari, Jorge Cortes
Over the past two decades, an increasing array of control-theoretic methods have been used to study the brain as a complex dynamical system and better understand its structure-func…
q-bio.NC2022
Selective Inhibition and Recruitment of Linear-Threshold Thalamocortical Networks
Michael McCreesh, Jorge Cortés
Neuroscientific evidence shows that for most brain networks all pathways between cortical regions either pass through the thalamus or a transthalamic parallel route exists for any…