Hard-wired models of working memory and temporal sequence storage and generation

• Published in: Neural networks Vol. 13; no. 2; pp. 201 - 224
• Main Authors: Taylor, N.R, Taylor, J.G
• Format: Journal Article
• Language: English
• Published: Oxford Elsevier Ltd 01-03-2000; Elsevier Science
• Subjects: Animals; Applied sciences; Artificial intelligence; Basal ganglia; Computer science; control theory; systems; Connectionism. Neural networks; Cortex; Exact sciences and technology; Frontal Lobe - physiology; Humans; Memory, Short-Term - physiology; Models, Neurological; Motor Activity - physiology; Nerve Net - physiology; Neural Pathways - physiology; Neurons - physiology; Psychomotor Performance - physiology; Thalamus; Time Factors; Thalamus; Basal ganglia; Cortex; Waveform; System architecture; Frontal lobe; Basal ganglion; Bifurcation theory; Neural network; Connectionism; Modeling; Experimental result; Neuron; Mathematical analysis; Motor cortex; Time curve; Numerical simulation; Premotor cortex; Working memory; Subcortex; Visual task
• ISSN: 0893-6080; 1879-2782
• DOI: 10.1016/S0893-6080(99)00086-6

We develop hard-wired simulations of temporal sequence storage and generation by multi-modular networks based on the frontal lobe system (cortex, basal ganglia and thalamus). Single cell activity is shown to have been constructed so as to mimic results measured in monkeys on a similar task, indicating that a suitable form of chunking had been achieved in the models. The mathematical nature of these processes is discussed, from the viewpoint of bifurcation theory.