Simulation of serotonin mechanisms in NEUCOGAR cognitive architecture

Disgust Cognitive systems Computational model
DOI: 10.1016/j.procs.2018.01.072 Publication Date: 2018-02-03T01:29:06Z
ABSTRACT
This work aims at demonstrating that the neuromodulatory mechanisms control emotional states of mammals (specifically rat's brains) can be represented and re-implemented in a computational model processed by machine. In particular we specifically focus on two neuro-transmitters, serotonin dopamine, starting from their fundamental role basic cognitive processes. our specific implementation, represent simulation 'disgust-like' state based three dimensional affects or emotions, according to 'cube emotions'. These functional transferred into an artificial system: inhibition, for example, elicit blocking behaviour that, depending its intensity duration, push system general state. We have simulated 1000 milliseconds dopamine systems using NEST Neural Simulation Tool with rat brain as artificially reproduce this mechanism system.
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