Neuroengineering & Computational

Neuroengineering & Computational neuroscience is the study of the nervous system that uses mathematics and statistics to understanding information processing by many individual neurons composing complex circuits.

Arjun Krisnan, PhD
Arjun Krisnan, PhD

Assistant Professor, Computational Mathematics, Science, and Engineering
 2507H Engineering Building
 517-432-0372
 arjun@msu.edu

Computational data-driven approaches for resolving, understanding, and tackling the heterogeneity of complex traits and diseases.

J. Devin McAuley, PhD
J. Devin McAuley, PhD

Professor, Psychology
 282B Psychology
 517-353-9069
 dmcauley@msu.edu

Auditory perception, attention, and cognition, timing and rhythm, relationship between music and language processing, computational modeling, and neuroimaging

Galit Pelled, PhD
Galit Pelled, PhD

Professor, Biomedical Engineering and Department of Radiology
 2S Biomedical Engineering Building

Neuromodulation, Neuroimaging of cortical function, Post-injury plasticity, Somatosensory system, Traumatic brain injury, Peripheral nerve injury, molecular probes, Optical imaging, Development of molecular-based neuromodulation technologies

Erin K. Purcell, PhD
Erin K. Purcell, PhD

Assistant Professor, Biomedical Engineering, Electrical And Computer Engineering
 334A Engineering
 517-432-8137
 epurcell@msu.edu

Regenerate and redefine the interface between neurons and electrodes implanted in the brain, improving the understanding and control of device-tissue integration

Mark Reimers, PhD

Associate Professor, Neuroscience Program
 2117 Bioengineering Facility
 reimersm@msu.edu

Fathi M. Salem, PhD
Fathi M. Salem, PhD

Professor, Department of Electrical and Computer Engineering
 2308D Engineering Building
 517-355-7695
 salemf@msu.edu

Modeling neuronal population synchrony and asynchrony and their relation to memory, processing, prediction, and control