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Summary: Neural communication systems
Péter András
School of Computing Science
University of Newcastle
Newcastle upon Tyne, NE1 7RU, UK
peter.andras@ncl.ac.uk
Abstract Understanding how biological neural
systems work needs appropriate models that focus on
relevant features of neural activities and ignore
irrelevant ones. Here we propose a new way of
describing biological neural systems in terms of
abstract communication systems. Such systems use
pattern languages formulated as probabilistic
continuation rules that determine which
communications follow other communications. We
apply this framework to define neural communication
systems. The formal analysis is followed by a brief
interpretation of how the crab stomatogastric ganglion
works in the context of the proposed framework. We
also discuss further implications of the description of
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