Abstract
A theory of systems is proposed that is complementary to information theory and which provides a means of understanding biological neurons. This theory, its cybernetic nature, and an engineering formalism are summarized and used to derive the architectural elements of a single-neuron system, including its operational characteristics, spatiotemporal adaptation rules, and most importantly, its computational objective. Design assumptions are tailored to obtain an architecture closely resembling that of biological neurons. The underlying theory represents a “meta-theory” in the sense that it captures information theory, systems theory, and hybrid systems such as those described by systems of single-neuron systems that internally both process and transmit information between constituent elemental “systems”.
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