Title :
A neural network model of personality
Author_Institution :
Dept. of Psychiatry, Beth Israel Med. Center, NY, USA
Abstract :
Using concepts from the psychoanalytic theory, it is hypothesized that particular neurotransmitter systems correlate to specific stages of child development. Based on this a three layer neural network model of personality is presented in which each sequential layer is taken to contain neurons mostly sensitive to a particular neurotransmitter. Due to their postulated correlation to personality traits, the monoamine dopamine, norepinephrine, and serotonin are respectively considered for each sequential layer. Thus, several brain areas are represented redundantly as their neurons are assigned to different layers of the neural network. Representing the architecture in this manner is consistent with actual neuronal connections, and allows multiple brain areas to be represented by a three layer neural network in a way which is useful for understanding brain function and psychopathology
Keywords :
feedforward neural nets; neurophysiology; physiological models; psychology; brain; monoamines dopamine; multilayer neural network; neurotransmitter; norepinephrine; personality; physiological model; psychoanalytic theory; serotonin; Biological neural networks; Biological system modeling; Brain; Humans; Neural networks; Neurons; Neurotransmitters; Pathology; Pediatrics; Psychology;
Conference_Titel :
Neural Networks, 1999. IJCNN '99. International Joint Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-7803-5529-6
DOI :
10.1109/IJCNN.1999.831464