A Neural Network Model of the Structure and Dynamics of Human Personality.

Read, Stephen J.; Monroe, Brian M.; Brownstein, Aaron L.; Yang, Yu; Chopra, Gurveen; Miller, Lynn C.

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Title: A Neural Network Model of the Structure and Dynamics of Human Personality

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Title:	A Neural Network Model of the Structure and Dynamics of Human Personality
Authors:	Read, Stephen J.; Monroe, Brian M.; Brownstein, Aaron L.; Yang, Yu; Chopra, Gurveen; Miller, Lynn C.
Descriptors:	Personality Traits; Personality; Brain Hemisphere Functions; Neurological Organization; Models; Neurology; Biology; Cognitive Processes
Source:	Psychological Review, v117 n1 p61-92 Jan 2010
More Info: Help Peer Reviewed:	Yes
Publisher:	American Psychological Association. Journals Department, 750 First Street NE, Washington, DC 20002-4242. Tel: 800-374-2721; Tel: 202-336-5510; Fax: 202-336-5502; e-mail: order@apa.org; Web site: http://www.apa.org/publications
Publication Date:	2010-01-00
Pages:	32
Pub Types:	Journal Articles; Reports - Evaluative
Abstract:	We present a neural network model that aims to bridge the historical gap between dynamic and structural approaches to personality. The model integrates work on the structure of the trait lexicon, the neurobiology of personality, temperament, goal-based models of personality, and an evolutionary analysis of motives. It is organized in terms of two overarching motivational systems, an approach and an avoidance system, as well as a general disinhibition and constraint system. Each overarching motivational system influences more specific motives. Traits are modeled in terms of differences in the sensitivities of the motivational systems, the baseline activation of specific motives, and inhibitory strength. The result is a motive-based neural network model of personality based on research about the structure and neurobiology of human personality. The model provides an account of personality dynamics and person-situation interactions and suggests how dynamic processing approaches and dispositional, structural approaches can be integrated in a common framework. (Contains 15 tables and 3 figures.)
Abstractor:	As Provided
Reference Count:	136

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Record Type:	Journal
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ISBN:	N/A
ISSN:	ISSN-0033-295X
Audiences:	N/A
Languages:	English
Education Level:	N/A
Direct Link:	http://dx.doi.org/10.1037/a0018131

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