World's Best Scientists 2026 revealed!

D-Index & Metrics

Neuroscience

D-Index
57
Citations
17263
World Ranking
4274
National Ranking
1933

Psychology

D-Index
57
Citations
17169
World Ranking
3977
National Ranking
2228

Overview

Mark A. Gluck is affiliated with Rutgers, The State University of New Jersey in the United States. Their research primarily spans the fields of Medicine and Neuroscience, with a significant focus on Cognitive Neuroscience, Physiology, Psychiatry and Mental Health, Public Health, Environmental and Occupational Health, and Experimental and Cognitive Psychology.

The main topics addressed in their body of work include:

  • Dementia and Cognitive Impairment Research
  • Alzheimer's Disease Research and Treatments
  • Sleep and Wakefulness Research
  • Memory and Neural Mechanisms
  • Functional Brain Connectivity Studies
  • Sleep and Related Disorders
  • Diet and Metabolism Studies

Mark A. Gluck has published extensively in several academic journals, including:

  • Alzheimer's & Dementia
  • Innovation in Aging
  • Neurobiology of Learning and Memory
  • Frontiers in Aging Neuroscience
  • Journal of Alzheimer's Disease

Notable recent papers authored or co-authored by Mark A. Gluck include:

  • Sleep to remember, sleep to forget: Rapid eye movement sleep can have inverse effects on recall and generalization of fear memories, 2021, Neurobiology of Learning and Memory
  • Increased dynamic flexibility in the medial temporal lobe network following an exercise intervention mediates generalization of prior learning, 2020, Neurobiology of Learning and Memory
  • Cardio-Dance Exercise to Improve Cognition and Mood in Older African Americans: A Propensity-Matched Cohort Study, 2021, Journal of Applied Gerontology
  • A Mini-Review of Strategies for Recruiting Older African Americans to Alzheimer's Disease Research, 2022, Community Health Equity Research & Policy
  • ABCA7 Genotype Moderates the Effect of Aerobic Exercise Intervention on Generalization of Prior Learning in Healthy Older African Americans, 2020, Journal of Alzheimer's Disease

The scientist frequently collaborates with other researchers. Their most frequent co-authors include:

  • Bernadette A. Fausto
  • Miray Budak
  • Zuzanna Osiecka
  • Mustafa Sheikh
  • Steven K. Malin

Best Publications

  • Interactive memory systems in the human brain.

    R. A. Poldrack;J. Clark;E. J. Paré-Blagoev;D. Shohamy

  • From conditioning to category learning: an adaptive network model.

    Mark A. Gluck;Gordon H. Bower

  • Probabilistic classification learning in amnesia.

    Barbara J. Knowlton;Larry R. Squire;Mark A. Gluck

  • Pictures and names: Making the connection ☆

    Pierre Jolicoeur;Mark A. Gluck;Stephen M. Kosslyn

  • Hippocampal mediation of stimulus representation: A computational theory

    Mark A. Gluck;Catherine E. Myers

  • A novelty detection approach to classification

    Nathalie Japkowicz;Catherine Myers;Mark Gluck

  • Information, Uncertainty and the Utility of Categories

    M. Gluck

  • Comparing modes of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961)

    Robert M. Nosofsky;Mark A. Gluck;Thomas J. Palmeri;Stephen C. Mckinley

  • Cortico‐striatal contributions to feedback‐based learning: converging data from neuroimaging and neuropsychology

    Daphna Shohamy;C. E. Myers;S. Grossman;J. Sage

  • Reward-learning and the novelty-seeking personality: a between- and within-subjects study of the effects of dopamine agonists on young Parkinson's patients

    Nikoletta Bodi;Szabolcs Keri;Helga Gabriella Nagy;Ahmed A Moustafa

  • Evaluating an adaptive network model of human learning

    Mark A Gluck;Gordon H Bower

  • Human midbrain sensitivity to cognitive feedback and uncertainty during classification learning.

    Adam R. Aron;Daphna Shohamy;Jill Clark;Catherine Myers

  • How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.

    Mark A. Gluck;Daphna Shohamy;Catherine Myers

  • Dopaminergic Drugs Modulate Learning Rates and Perseveration in Parkinson’s Patients in a Dynamic Foraging Task

    Robb B. Rutledge;Stephanie C. Lazzaro;Brian Lau;Catherine E. Myers

  • Explaining Basic Categories: Feature Predictability and Information

    James E. Corter;Mark A. Gluck

  • Intact delay-eyeblink classical conditioning in amnesia.

    John D. E. Gabrieli;Regina McGlinchey-Berroth;Regina McGlinchey-Berroth;Maria C. Carrillo;Mark A. Gluck

  • Basal ganglia and dopamine contributions to probabilistic category learning

    D. Shohamy;C.E. Myers;J. Kalanithi;M.A. Gluck

  • Dissociating Hippocampal versus Basal Ganglia Contributions to Learning and Transfer

    Catherine E. Myers;Daphna Shohamy;Mark A. Gluck;Steven Grossman

  • Modeling the Neural Substrates of Associative Learning and Memory: A Computational Approach

    Mark A. Gluck;Richard F. Thompson

  • Learning and Memory: From Brain to Behavior

    Mark A. Gluck;Eduardo Mercado;Catherine E. Myers

  • Neuroscience and connectionist theory

    Mark A. Gluck;David E. Rumelhart

Frequent Co-Authors

Catherine E. Myers
Catherine E. Myers United States Department of Veterans Affairs
Ahmed A. Moustafa
Ahmed A. Moustafa Bond University
Daphna Shohamy
Daphna Shohamy Columbia University
Szabolcs Kéri
Szabolcs Kéri Budapest University of Technology and Economics
Ramona O. Hopkins
Ramona O. Hopkins Brigham Young University
Martijn Meeter
Martijn Meeter Vrije Universiteit Amsterdam
Michael M. Merzenich
Michael M. Merzenich University of California, San Francisco
Russell A. Poldrack
Russell A. Poldrack Stanford University
Richard F. Thompson
Richard F. Thompson University of Southern California
Thomas W. Weickert
Thomas W. Weickert SUNY Upstate Medical University

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