Neural Information Organizing and Processing Principles

The neural information organizing and processing principles are presented in a general transdisciplinary axiomatic form, highlighting the fundamental neural informational characteristics and processes as a guiding informational synthesis useful in various fields from neurosciences to neural processing units design and artificial intelligent software implementations. The proposed neural information organizing and processing principles highlights the fundamental characteristics of neural information: function, memorization, nondeterminism, fragmentation, aggregation, nonlinearization, geometrization, parallelization, adaptation, and objectivation. The presented principles are formulated in order to facilitate transdisciplinary utility even if were synthesized through neural specific informational organization in computing implementations and approaches as generalization, abstraction and in correlation with biological neuronal systems, especially viewed from an informational perspective.