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Biological AI Systems

Our team is interested in leveraging our expertise in both electrical and tissue engineering to create electrically-engineered biological neural networks designed to be electrophysiologically trained to exhibit intelligent behaviors. 

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Live neurons on electrodes

MEA-based neuronal electrophysiological recording system.  Preliminary MEA recordings show extracellular signals and detected spike waveforms from cultured neurons.

Papers of interest

Alim, A., Baek, Y., Lee, M. et al. Microengineering of the capillary interface of midbrain dopaminergic neurons to study Parkinson’s disease vascular alterations. Commun Eng 5, 23 (2026)

Baek Y, Alim A, Dong Y, Olabi T, Paek J, Lee M. Lipid Acyl Chain-Driven α-Synuclein Fibril Polymorphisms and Neuronal Pathologies. ACS Chem Neurosci. (2026)

​Pediaditakis, I., Kodella, K.R., Manatakis, D.V. et al. Modeling alpha-synuclein pathology in a human brain-chip to assess blood-brain barrier disruption. Nat Commun 12, 5907 (2021).

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Dr. Jay Jungwook Paek

Electrical and Computer Engineering

Thomas J. Watson College of Engineering & Applied Science

Engineering & Science Building, Room 2318

State University of New York (SUNY) at Binghamton

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