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dc.contributor.authorParussel, Karla-
dc.description.abstractIt 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.en_UK
dc.publisherIGI Global-
dc.relationParussel K (2010) Emotion as a Significant Change in Neural Activity, International Journal of Synthetic Emotions, 1 (1), pp. 51-67.-
dc.rightsThe 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.-
dc.subjectartificial emotionsen_UK
dc.subjectneural networksen_UK
dc.subjectdynamical systemsen_UK
dc.subject.lcshNeural networks (Neurobiology)-
dc.titleEmotion as a Significant Change in Neural Activityen_UK
dc.typeJournal Articleen_UK
dc.rights.embargoreasonThe publisher does not allow this work to be made publicly available in this Repository therefore there is an embargo on the full text of the work.-
dc.citation.jtitleInternational Journal of Synthetic Emotions-
dc.type.statusPost-print (author final draft post-refereeing)-
dc.contributor.affiliationComputing Science and Mathematics-
Appears in Collections:Computing Science and Mathematics Journal Articles

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