Book contents
- The Cambridge Handbook of Computational Psychology
- The Cambridge Handbook of Computational Psychology
- Copyright page
- Contents
- Preface
- List of Contributors
- Part I Introduction
- Part II Cognitive Modeling Paradigms
- Part III Computational Modeling of Various Cognitive Functionalities and Domains
- 7 Computational Models of Episodic Memory
- 8 Computational Models of Semantic Memory
- 9 Models of Categorization
- 10 Micro-Process Models of Decision Making
- 11 Models of Inductive Reasoning
- 12 Mental Logic, Mental Models, and Simulations of Human Deductive Reasoning
- 13 Computational Models of Skill Acquisition
- 14 Computational Models of Implicit Learning
- 15 Computational Models of Attention and Cognitive Control
- 16 Computational Models of Developmental Psychology
- 17 Computational Models of Psycholinguistics
- 18 Computational Models in Personality and Social Psychology
- 19 Cognitive Social Simulation
- 20 Models of Scientific Explanation
- 21 Cognitive Modeling for Cognitive Engineering
- 22 Models of Animal Learning and Their Relations to Human Learning
- 23 Computational Modeling of Visual Information Processing
- 24 Models of Motor Control
- Part IV Concluding Remarks
- Author Index
- Subject Index
7 - Computational Models of Episodic Memory
from Part III - Computational Modeling of Various Cognitive Functionalities and Domains
Published online by Cambridge University Press: 05 June 2012
Edited by
Book contents
- The Cambridge Handbook of Computational Psychology
- The Cambridge Handbook of Computational Psychology
- Copyright page
- Contents
- Preface
- List of Contributors
- Part I Introduction
- Part II Cognitive Modeling Paradigms
- Part III Computational Modeling of Various Cognitive Functionalities and Domains
- 7 Computational Models of Episodic Memory
- 8 Computational Models of Semantic Memory
- 9 Models of Categorization
- 10 Micro-Process Models of Decision Making
- 11 Models of Inductive Reasoning
- 12 Mental Logic, Mental Models, and Simulations of Human Deductive Reasoning
- 13 Computational Models of Skill Acquisition
- 14 Computational Models of Implicit Learning
- 15 Computational Models of Attention and Cognitive Control
- 16 Computational Models of Developmental Psychology
- 17 Computational Models of Psycholinguistics
- 18 Computational Models in Personality and Social Psychology
- 19 Cognitive Social Simulation
- 20 Models of Scientific Explanation
- 21 Cognitive Modeling for Cognitive Engineering
- 22 Models of Animal Learning and Their Relations to Human Learning
- 23 Computational Modeling of Visual Information Processing
- 24 Models of Motor Control
- Part IV Concluding Remarks
- Author Index
- Subject Index
Summary
The term episodic memory refers to the ability to recall previously experienced events and to recognize things as having been encountered previously. Research on the neural basis of episodic memory has increasingly come to focus on three structures: The hippocampus, Perirhinal cortex and Prefrontal cortex. This chapter reviews the Complementary Learning Systems (CLS) model and how it has been applied to understanding hippocampal and neocortical contributions to episodic memory. In addition to the biologically based models, there is a rich tradition of researchers building more abstract computational models of episodic memory. The chapter describes an abstract modeling framework, the Temporal Context Model (TCM) that has proved to be very useful in understanding how to selectively retrieve memories from a particular temporal context in free recall experiments. Episodic memory modeling has a long tradition of trying to build comprehensive models that can simultaneously account for multiple recall and recognition findings.
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- Information
- The Cambridge Handbook of Computational Psychology , pp. 189 - 225Publisher: Cambridge University PressPrint publication year: 2008
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