• Publications
  • Influence
Interactive memory systems in the human brain
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
  • 991
  • 96
Probabilistic classification learning in amnesia.
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 ofExpand
  • 560
  • 61
  • PDF
Pictures and names: Making the connection
TLDR
A series of results supports two general assertions about this process: First, objects are identified first at a particular level of abstraction which is neither the most general nor the most specific possible. Expand
  • 534
  • 34
How do people solve the "weather prediction" task?: individual variability in strategies for probabilistic category learning.
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
  • 220
  • 33
  • PDF
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 subjectsExpand
  • 649
  • 28
Cortico-striatal contributions to feedback-based learning: converging data from neuroimaging and neuropsychology.
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-basedExpand
  • 353
  • 27
  • PDF
Dopaminergic Drugs Modulate Learning Rates and Perseveration in Parkinson's Patients in a Dynamic Foraging Task
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 substantiaExpand
  • 215
  • 23
  • PDF
Dissociating Hippocampal versus Basal Ganglia Contributions to Learning and Transfer
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 versusExpand
  • 198
  • 21
  • PDF
Reward-learning and the novelty-seeking personality: a between- and within-subjects study of the effects of dopamine agonists on young Parkinson's patients.
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 rewardExpand
  • 293
  • 20
  • PDF
Comparing modes of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961)
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 resultsExpand
  • 259
  • 19
  • PDF
...
1
2
3
4
5
...