DocumentCode :
2767120
Title :
Modeling the Evolution of Decision Rules in the Human Brain
Author :
Levine, Daniel S.
Author_Institution :
Univ. of Texas at Arlington, Arlington
fYear :
0
fDate :
0-0 0
Firstpage :
625
Lastpage :
631
Abstract :
A neural network theory is proposed for how the brain develops decision rules about classes of behaviors. The networks proposed for these functions join previous theories of cortical-subcortical interactions involved in specific behavioral patterns; a psychodynamic schema for interacting character dimensions, which influence contextual tendencies toward behavior patterns; and an incipient mathematical theory, using an analog of simulated annealing in a continuous dynamical system, of switches among attractors in personality space. Implications are discussed for change in the course of a person´s life, such as occur in psychotherapy.
Keywords :
brain; neural nets; psychology; contextual tendencies; cortical-subcortical interactions; decision rules evolution; human brain; neural network theory; psychodynamic schema; simulated annealing; Animals; Biological neural networks; Bonding; Brain modeling; Genetics; Humans; Neural pathways; Permission; Psychology; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2006. IJCNN '06. International Joint Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-9490-9
Type :
conf
DOI :
10.1109/IJCNN.2006.246741
Filename :
1716152
Link To Document :
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