József Fiser
Biographic Data
| ID | 9496465 |
|---|---|
| NAME | József Fiser |
| GIVEN NAMES | József |
| FAMILY NAME | Fiser |
| SIGNATURE | FIŠER J |
| AFFILIATIONS | Central European University |
| ORCID | 0000-0002-7064-0690 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
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.…
Unsupervised Statistical Learning of Higher-Order Spatial Structures from Visual Scenes
Three experiments investigated the ability of human observers to extract the joint and conditional probabilities of shape cooccurrences during passive viewing of complex visual scenes. Results indicated that statistical learning of shape conjunctions was both rapid and automatic, as subjects were not instructed to attend to any particular features of the displays. Moreover, in addition to single-shape frequency, subjects acquired in parallel seve…
No prominent works on this page.
Unsupervised Statistical Learning of Higher-Order Spatial Structures from Visual Scenes
Three experiments investigated the ability of human observers to extract the joint and conditional probabilities of shape cooccurrences during passive viewing of complex visual scenes. Results indicated that statistical learning of shape conjunctions was both rapid and automatic, as subjects were not instructed to attend to any particular features of the displays. Moreover, in addition to single-shape frequency, subjects acquired in parallel seve…
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.…
Computer Science (2 works) · Perception (2 works) · Psychology (2 works) · Artificial Intelligence (1 works) · Cognitive psychology (1 works) · Cognitive science (1 works) · Communication (1 works) · Image Retrieval and Classification Techniques (1 works) · Medicine (1 works) · Morphological variations and asymmetry (1 works)