Foundation and Classification of Non-Conventional Neural Units and Paradigm of Non-Synaptic Neural Interaction

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21220%2F10%3A00161182" target="_blank" >RIV/68407700:21220/10:00161182 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Foundation and Classification of Non-Conventional Neural Units and Paradigm of Non-Synaptic Neural Interaction

Popis výsledku v původním jazyce

This chapter introduces basic types of non-conventional neural units and focuses their mathematical notation and classification. Namely, the notation and classification of higher-order non-linear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. The classification of non-conventional neural unites is founded at first according to non-linearity of aggregating function, at second according to the dynamic order, at third according to time-delayimplementation within neural units. Introducing into simplified parallel of the higher-order non-linear aggregating of higher-order neural unites revealing both the synaptic and non-synaptic neural interaction is made. Thus, a new parallel between the mathematical notation of non-conventional neural unites and the neural signal processing of biological neurons is drawn.

Název v anglickém jazyce

Foundation and Classification of Non-Conventional Neural Units and Paradigm of Non-Synaptic Neural Interaction

Popis výsledku anglicky

This chapter introduces basic types of non-conventional neural units and focuses their mathematical notation and classification. Namely, the notation and classification of higher-order non-linear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. The classification of non-conventional neural unites is founded at first according to non-linearity of aggregating function, at second according to the dynamic order, at third according to time-delayimplementation within neural units. Introducing into simplified parallel of the higher-order non-linear aggregating of higher-order neural unites revealing both the synaptic and non-synaptic neural interaction is made. Thus, a new parallel between the mathematical notation of non-conventional neural unites and the neural signal processing of biological neurons is drawn.

Druh

C - Kapitola v odborné knize

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/2B06023" target="_blank" >2B06023: Vývoj metody stanovení toků energie a látek ve vybraných ekosystémech, návrh a ověření principů hodnocení hospodářských zásahů pro zajištění podmínek autoregulace a rozvoje biodiverzity</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2010

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název knihy nebo sborníku

Discoveries and Breakthroughs in Cognitive Informatics and Natural Intelligence

ISBN

978-1-60566-902-1

Počet stran výsledku

15

Strana od-do

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Počet stran knihy

375

Název nakladatele

Information science Reference

Místo vydání

Hershey

Kód UT WoS kapitoly

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