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Appears in Collections:Computing Science and Mathematics Journal Articles
Peer Review Status: Refereed
Title: Emotion as a Significant Change in Neural Activity
Authors: Parussel, Karla
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Keywords: artificial emotions
neural networks
dynamical systems
Issue Date: 2010
Publisher: IGI Global
Citation: Parussel K (2010) Emotion as a Significant Change in Neural Activity, International Journal of Synthetic Emotions, 1 (1), pp. 51-67.
Abstract: It is hypothesised here that there exist two classes of emotions; driving and satisfying emotions. Driving emotions significantly increase the internal activity of the brain and result in the agent seeking to minimise its emotional state by performing actions that it would not otherwise do. Satisfying emotions decrease internal activity and encourage the agent to continue its current behaviour to maintain its emotional state. It is theorised that neuromodulators act as simple yet high impact signals to either agitate or calm specific neural networks. This results in what we can define as either driving or satisfying emotions. The plausibility of this hypothesis is tested in this paper using feed-forward networks of leaky integrate-and-fire neurons.
Type: Journal Article
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Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author; you can only request a copy if you wish to use this work for your own research or private study.
Affiliation: Computing Science and Mathematics

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