Abstract
The computational modeling of neurobiological phenomena is an important area in bio-inspired computing. The understanding of state of consciousness as cognitive function is central to it. The functioning of neurological structures is inherently distributed in nature having a closer match to distributed computing. However, the role of functional neurophysiology is critical in cognition modeling. This paper proposes a mathematical model of state of consciousness by mapping the functional neurophysiology and by inducing distributed computing structures in coherence. The scopes of evolution of consciousness and memory are incorporated into the model. The numerical simulation of the distributed computational model is conducted by considering different choice functions. The results illustrate that, gradual evolution of positive consciousness is deterministic under fair excitation from environment.
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