A game theoretic model of neurocomputation

Abstract

Within brains, complex dynamic neural interactions are an aggregate of excitatory and inhibitory neural firings. This research considers some key neuron operating properties and functionality to analyze the dynamics through which neurons interact and are responsive together. Frameworks have often been developed as simplifications (e.g. Ising, sandpile, Björner), but still provide an elegant framework for modeling complex interactions. Also, petri nets serve as a rich mathematical framework for describing distributed systems. Building on this research, we present a game theoretic neural chip-firing model that is based on spreading activation of neurotransmitters capable of representing aspects of neural activity. © 2013 Springer-Verlag.