Simulation of cognitive disturbances by a dynamic threshold semantic neural network.
A neural network model with dynamic thresholds, asymmetric connections, and clustered memories simulates spread activation that is hypothesized for semantic networks in the brain. By altering the parameters of the dynamic threshold a large range of disturbances can be generated in the model. These disturbances show metaphorical resemblance to certain general clinical descriptions of mental disturbances found in psychiatric patients engaged in various cognitive tasks. Even though the model is highly theoretical and metaphoric, it may help to gain certain insights into the relation between alterations of certain neural parameters, for example, thresholds and connectivity, and clinical symptoms in patients.
Electrical and Computer Engineering Department, Ben-Gurion University of the Negev, Beer Sheva, Israel. geva@ee.bgu.ac.il
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D000465:Algorithms; D003072:Cognition Disorders / Q000503:physiopathology*; D003198:Computer Simulation; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D009434:Neural Pathways / Q000502:physiology; D011597:Psychomotor Performance