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- Publications
- Influence
Interactive memory systems in the human brain
- R. Poldrack, J. Clark, +4 authors M. Gluck
- Psychology, Medicine
- Nature
- 29 November 2001
Learning and memory in humans rely upon several memory systems, which appear to have dissociable brain substrates. A fundamental question concerns whether, and how, these memory systems interact.… Expand
Probabilistic classification learning in amnesia.
- B. Knowlton, L. Squire, M. Gluck
- Psychology, Medicine
- Learning & memory
- 1 July 1994
Amnesic patients and control subjects participated in a study of probabilistic classification learning. In each of three tasks, four different cues were each probabilistically associated with one of… Expand
Pictures and names: Making the connection
- P. Jolicoeur, M. Gluck, S. Kosslyn
- Computer Science, Medicine
- Cognitive Psychology
- 1 April 1984
TLDR
How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.
- M. Gluck, D. Shohamy, C. Myers
- Psychology, Medicine
- Learning & memory
- 1 November 2002
Probabilistic category learning is often assumed to be an incrementally learned cognitive skill, dependent on nondeclarative memory systems. One paradigm in particular, the weather prediction task,… Expand
From conditioning to category learning: an adaptive network model.
We used adaptive network theory to extend the Rescorla-Wagner (1972) least mean squares (LMS) model of associative learning to phenomena of human learning and judgment. In three experiments subjects… Expand
Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology.
- D. Shohamy, C. Myers, S. Grossman, J. Sage, M. Gluck, R. Poldrack
- Medicine, Psychology
- Brain : a journal of neurology
- 1 April 2004
The striatum has been widely implicated in cognition, but a precise understanding of its role remains elusive. Here we present converging evidence for the role of the striatum in feedback-based… Expand
Dopaminergic Drugs Modulate Learning Rates and Perseveration in Parkinson's Patients in a Dynamic Foraging Task
- R. Rutledge, Stephanie C. Lazzaro, B. Lau, C. Myers, M. Gluck, P. Glimcher
- Psychology, Medicine
- The Journal of Neuroscience
- 2 December 2009
Making appropriate choices often requires the ability to learn the value of available options from experience. Parkinson's disease is characterized by a loss of dopamine neurons in the substantia… Expand
Dissociating Hippocampal versus Basal Ganglia Contributions to Learning and Transfer
- C. Myers, D. Shohamy, +6 authors Ronald Schwartz
- Psychology, Medicine
- Journal of Cognitive Neuroscience
- 1 February 2003
Based on prior animal and computational models, we propose a double dissociation between the associative learning deficits observed in patients with medial temporal (hippocampal) damage versus… Expand
Reward-learning and the novelty-seeking personality: a between- and within-subjects study of the effects of dopamine agonists on young Parkinson's patients.
- N. Bódi, S. Kéri, +7 authors M. Gluck
- Psychology, Medicine
- Brain : a journal of neurology
- 1 September 2009
Parkinson's disease is characterized by the degeneration of dopaminergic pathways projecting to the striatum. These pathways are implicated in reward prediction. In this study, we investigated reward… Expand
Comparing modes of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961)
- R. Nosofsky, M. Gluck, Thomas J. Palmeri, S. C. McKinley, P. Glauthier
- Psychology, Medicine
- Memory & cognition
- 1 May 1994
We partially replicate and extend Shepard, Hovland, and Jenkins's (1961) classic study of task difficulty for learning six fundamental types of rule-based categorization problems. Our main results… Expand
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