Don M. Tucker

Don M. Tucker is an American cognitive neuroscientist, neuropsychologist, professor emeritus of Psychology and Director of the Neuroinformatics Center at the University of Oregon. In 2018, Tucker was named a Fellow of the National Academy of Inventors, becoming the first faculty member from the University of Oregon to receive the honour. He is known for pioneering dense-array electroencephalography. He has conducted research on the measurement of brain dynamics and its relation to neuroscience and artificial intelligence.

Education and career Tucker received his doctoral training in psychology and neuroscience and joined the faculty at the University of Oregon in 1984. He held various academic positions, including Professor of Psychology and Associate Director of the NeuroInformatics Center. He later became Emeritus Professor while continuing research and entrepreneurship activities. In 1992, he founded Electrical Geodesics, Inc. (EGI) in Eugene, Oregon, and later, in 2018, the Brain Electrophysiology Laboratory (BEL) Company, where he currently serves as CEO and Chief Scientist.

In the late 1980s, Tucker proposed that accurate source localization of brain activity required hundreds of scalp sensors. He developed the Geodesic Sensor Net, a hydrogel-based EEG cap capable of recording from 128–256 channels with rapid application and without scalp abrasion. This technology was commercialized through EGI, which was later acquired by Philips Healthcare in 2017 for $36.7 million.

Tucker also established the BEL Company in 2018 to extend dense-array EEG to therapeutic applications, including FDA-cleared neuromodulation devices and cloud-based source imaging software.

Research Tucker's research integrates cognitive psychology, electrophysiology, and neuroinformatics to understand the neural basis of emotion, memory, attention, and mental illness. He has investigated frontal-limbic asymmetries, anxiety, and depression using high-density EEG and source localization methods.

More recently, in collaboration with Phan Luu, Tucker proposed the Personal Neuromorphic Emulation (PNE) framework, a vision for brain-AI fusion by integrating structural MRI, dense-array EEG, and active inference learning rules to model individual cognition.

Selected publications Books Co-authored with philosopher Mark Johnson, presenting a theory of knowing as embodied, embedded, enactive, and emotionally based.

Journal articles