Abstract
In this chapter, following a Network-Oriented Modeling approach, an adaptive temporal-causal network model is presented that models how dreaming is used to learn fear extinction. The network model addresses dreaming as internal simulation incorporating memory elements in the form of sensory representations and their associated fear. During dream episodes regulation of fear takes place, which is strengthened in an adaptive manner by Hebbian learning. The model was evaluated by a number of simulation experiments for different scenarios.
Original language | English |
---|---|
Title of host publication | Understanding Complex Systems |
Publisher | Springer Science and Business Media Deutschland GmbH |
Pages | 141-155 |
Number of pages | 15 |
DOIs | |
Publication status | Published - 2016 |
Publication series
Name | Understanding Complex Systems |
---|---|
ISSN (Print) | 1860-0832 |
ISSN (Electronic) | 1860-0840 |
Bibliographical note
Publisher Copyright:© Springer International Publishing Switzerland 2016.
Keywords
- Adaptive Temporal-causal Network Model
- Dream Episode
- Fear Extinction Learning
- Internal Simulation
- Sensory Representation State