Nicholas B Turk-Browne
Biographic Data
| ID | 9747292 |
|---|---|
| NAME | Nicholas B Turk-Browne |
| GIVEN NAMES | Nicholas B |
| FAMILY NAME | Turk-Browne |
| SIGNATURE | TURK-BROWNE N B |
| AFFILIATIONS | Yale University |
| ORCID | 0000-0001-7519-3001 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2005 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 0 |
Multiple Memory Subsystems: Reconsidering Memory in the Mind and Brain
The multiple-memory-systems framework—that distinct types of memory are supported by distinct brain systems—has guided learning and memory research for decades. However, recent work challenges the one-to-one mapping between brain structures and memory types central to this taxonomy, with key memory-related structures supporting multiple functions across substructures. Here we integrate cross-species findings in the hippocampus, striatum, and amyg…
Perceptual Learning: Policy Insights From Basic Research to Real-World Applications
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.…
A Taxonomy of External and Internal Attention
Attention is a core property of all perceptual and cognitive operations. Given limited capacity to process competing options, attentional mechanisms select, modulate, and sustain focus on information most relevant for behavior. A significant problem, however, is that attention is so ubiquitous that it is unwieldy to study. We propose a taxonomy based on the types of information that attention operates over—the targets of attention. At the broades…
The Automaticity of Visual Statistical Learning.
The visual environment contains massive amounts of information involving the relations between objects in space and time, and recent studies of visual statistical learning (VSL) have suggested that this information can be automatically extracted by the visual system. The experiments reported in this article explore the automaticity of VSL in several ways, using both explicit familiarity and implicit response-time measures. The results demonstrate…
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The Automaticity of Visual Statistical Learning.
The visual environment contains massive amounts of information involving the relations between objects in space and time, and recent studies of visual statistical learning (VSL) have suggested that this information can be automatically extracted by the visual system. The experiments reported in this article explore the automaticity of VSL in several ways, using both explicit familiarity and implicit response-time measures. The results demonstrate…
A Taxonomy of External and Internal Attention
Attention is a core property of all perceptual and cognitive operations. Given limited capacity to process competing options, attentional mechanisms select, modulate, and sustain focus on information most relevant for behavior. A significant problem, however, is that attention is so ubiquitous that it is unwieldy to study. We propose a taxonomy based on the types of information that attention operates over—the targets of attention. At the broades…
Perceptual Learning: Policy Insights From Basic Research to Real-World Applications
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.…
Multiple Memory Subsystems: Reconsidering Memory in the Mind and Brain
The multiple-memory-systems framework—that distinct types of memory are supported by distinct brain systems—has guided learning and memory research for decades. However, recent work challenges the one-to-one mapping between brain structures and memory types central to this taxonomy, with key memory-related structures supporting multiple functions across substructures. Here we integrate cross-species findings in the hippocampus, striatum, and amyg…
Cognitive psychology (4 works) · Computer Science (4 works) · Psychology (4 works) · Cognitive science (3 works) · Neural dynamics and brain function (3 works) · Neuroscience (3 works) · Artificial Intelligence (2 works) · Cognition (2 works) · Neural and Behavioral Psychology Studies (2 works) · Perception (2 works)