Abstract
Computational models of episodic memory constitute mechanistically explicit theories of how we recall previously experienced events, and how we recognize stimuli as having been encountered previously. Because these models concretely specify the algorithms that govern recall and recognition, researchers can run computer simulations of these models to explore how (according to a particular model) different manipulations will affect recall and recognition performance.
| Original language | English (US) |
|---|---|
| Title of host publication | Encyclopedia of Cognitive Science |
| Subtitle of host publication | Nadel/Cognitive |
| Publisher | wiley |
| Pages | 1-9 |
| Number of pages | 9 |
| ISBN (Electronic) | 9780470018866 |
| ISBN (Print) | 9780470016190 |
| DOIs | |
| State | Published - Jan 1 2006 |
| Externally published | Yes |
All Science Journal Classification (ASJC) codes
- General Medicine
- General Neuroscience
- General Biochemistry, Genetics and Molecular Biology
- General Agricultural and Biological Sciences
Keywords
- episodic memory
- hippocampus
- neural network models
- recall
- recognition