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Aaron Seitz

Aaron Seitz

· Professor

Northeastern University · Psychology

Active 1999–2026

h-index41
Citations6.9k
Papers314132 last 5y
Funding$15.1M3 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

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About

Aaron Seitz is a professor in the Department of Psychology at Northeastern University, with additional affiliations in Physical Therapy, Human Movement, and Rehabilitation Sciences, as well as the Art and Design Institute for Cognitive and Brain Health. His research program aims to understand mechanisms of cognitive processes and to apply this knowledge for public benefit. His academic training includes a BA in theoretical mathematics, a PhD in computational neuroscience, and postdoctoral work in systems neuroscience and neuroimaging. His research has led to new insights regarding the roles of reinforcement, attention, multisensory interactions, and different brain systems in learning, as well as computational approaches to learning, translational neuroscience, and perceptual/cognitive enhancement. He utilizes a variety of methods, including psychophysical, physiological, imaging, pharmacological, genetic, and computational techniques, to study cognitively diverse populations ranging from individuals with cognitive deficits due to disease, injury, or development to neurotypical individuals and specialists such as radiologists and athletes. As the Director of the Brain Game Center for Mental Fitness and Well-being, Dr. Seitz employs ambulatory tools on mobile phones and tablets to reach larger and more diverse populations, aiming to understand cognitive diversity and create tools to measure function and personalize training based on individual needs.

Research topics

  • Computer Science
  • Medicine
  • Cognitive psychology
  • Neuroscience
  • Artificial Intelligence
  • Psychology
  • Sociology
  • Simulation
  • Mathematics
  • Cognitive science

Selected publications

  • Perceptual Learning: Policy Insights From Basic Research to Real-World Applications

    Policy Insights from the Behavioral and Brain Sciences · 2023 · 8 citations

    1st authorCorresponding

    Perceptual learning is the process by which experience alters how incoming sensory information is processed by the brain to give rise to behavior—it is critical for how humans educate children, train experts, treat diseases, and promote health and well-being throughout the lifespan. Knowledge of perceptual learning requires basic and applied research in humans and nonhuman animal models, which informs strategic targets for advancing applications. Commercial products to induce perceptual learning…

  • Connectome-based predictive modeling of grip strength: a marker of physical frailty

    Frontiers in Neuroscience · 2025-12-04 · 2 citations

    articleOpen access

    Introduction: Frailty is characterized by a persistent and progressive decline in functional capacity, leading to increased vulnerability to stressors and a heightened risk of adverse health outcomes, both physically and mentally. Despite frailty's prevalence in older adults, there is limited research on its neural substrates. Methods: In this study, we used connectome-based predictive modeling (CPM) to find a linear relationship between task-based connectomes taken from tasks that involved simi…

  • Age-Related Differences in Comprehending Speech in Competition

    American Journal of Audiology · 2025-05-09 · 1 citations

    articleOpen access

    PURPOSE: The ability to discriminate speech with background noise decreases with age. This study examined the effect of masker type and spatial location in older and young adults. METHOD: Using Portable Automated Rapid Testing software on an iPad, participants were asked to understand target speech (always simulated at 0° azimuth) in the presence of speech or "garbled speech" maskers (simulated from 0°, 6°, or 45° azimuth spatial locations). Additionally, suprathreshold sensitivities to temporal…

  • Connectome-based predictive modelling predicts frailty levels in older adults

    bioRxiv (Cold Spring Harbor Laboratory) · 2025-08-31 · 1 citations

    preprintOpen access

    Abstract Frailty is characterized by a persistent and progressive decline in physiological reserves, leading to increased vulnerability to stressors and a heightened risk of adverse health outcomes, both physically and mentally. Despite frailty’s prevalence in older adults, there is limited research on its neural substrates, especially using task-based brain functional connectivity. In this study, we used connectome-based predictive modelling (CPM) to find a linear relationship between task-base…

  • Remote sensory-cognitive assessment in children with autism: evaluating feasibility and performance outcomes

    PsyArXiv (OSF Preprints) · 2026-03-20

    preprintOpen access

    This study evaluated the feasibility of remotely administered, multi-session digital sensory-cognitive assessments in children with autism spectrum disorder (ASD). Remote assessment in ASD presents challenges, including sustaining engagement across sessions, ensuring task comprehension, and maintaining data quality in home environments. Accordingly, this study quantified feasibility through task engagement and data integ-rity across a multi-domain assessment battery. A total of 121 children with…

Recent grants

Frequent coauthors

  • Frederick J. Gallun

    149 shared
  • David A. Eddins

    University of Central Florida

    116 shared
  • Trevor Stavropoulos

    116 shared
  • Eric C. Hoover

    University of Maryland, College Park

    112 shared
  • Sittiprapa Isarangura

    Ramathibodi Hospital

    90 shared
  • E. Sebastian Lelo de Larrea-Mancera

    Northeastern University

    54 shared
  • Katherine N. Palandrani

    University of Maryland, College Park

    52 shared
  • Susanne M. Jaeggi

    Northeastern University

    38 shared

Education

  • B.A., Theoretical Mathematics

    Northeastern University

  • Ph.D., Computational Neuroscience

    Northeastern University

  • Other

    Systems Neuroscience and Neuroimaging

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