April 8, 2024, 4:42 a.m. | Iosif Iulian Petrila

cs.LG updates on arXiv.org arxiv.org

arXiv:2404.03676v1 Announce Type: cross
Abstract: The informational synthesis of neural structures, processes, parameters and characteristics that allow a unified description and modeling as neural machines of natural and artificial neural systems is presented. The general informational parameters as the global quantitative measure of the neural systems computing potential as absolute and relative neural power were proposed. Neural information organizing and processing follows the way in which nature manages neural information by developing functions, functionalities and circuits related to different internal …

abstract artificial arxiv computing cs.cl cs.lg cs.ne general global information machines modeling natural parameters processes processing quantitative synthesis systems type

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