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Any neuron can be described as implementing a binary distinction
(spiking vs. non-spiking). The dynamics of the brain then corresponds
to a network of interdependent distinctions in which most neuronal
firing (distinctions that are made) is actually based on the activity
of other neurons. Thus, the operation of the brain should be
understood as acting on distinctions and producing new
distinctions. Along those lines, we propose an algebra of distinctions
capturing the logics of brain dynamics. Computer simulations of simple
neural networks will then be used to illustrate and refine proposed
descriptions of network dynamics in terms of distinctions.
Within this framework consciousness is then analyzed in terms of properties of distinctions, i.e. a distinction becomes conscious if it is collectively available throughout the whole brain (A similar construction is used in game theory to define common knowledge). |
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