2005 Special Issue: Neural dynamics of psychotherapy: what modeling might tell us about us

Authors:
Ana Maria C. Aleksandrowicz;Daniel S. Levine
Affiliations:
ENSP-Fiocruz, Rua Leopoldo Bulhíes, 1480, Rio de Janeiro 21041-210-RJ, Brazil;Department of Psychology, University of Texas at Arlington, Arlington, TX 76019-0528, USA
Venue:
Neural Networks - 2005 Special issue: IJCNN 2005
Year:
2005

Citing 3
Cited 0

A massively parallel architecture for a self-organizing neural pattern recognition machine

Computer Vision, Graphics, and Image Processing
ARTMAP: Supervised real-time learning and classification of nonstationary data by a self-organizing neural network

Neural Networks
Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience

Fundamentals of Neural Network Modeling: Neuropsychology and Cognitive Neuroscience

Quantified Score

Hi-index	0.00

Visualization

Abstract

A neural network theory is proposed for some of the effects of verbal psychotherapy in individuals who are not seriously disturbed but seeking to function more effectively. The network theories are built on a combination of the supervised ARTMAP network and competitive attractor dynamics. The modeling exercise leads to some guidelines for psychotherapists that involve both cognitive and emotional reinforcement in a climate closer to skill learning than to medical treatment.