. . "[C86E5D20E0C4]" . "RIV/68407700:21220/07:00133313!RIV11-MSM-21220___" . . "Gupta, M. M. G." . . "978-1-4244-1327-0" . "Cognitive Informatics, 6th IEEE International Conference on" . . . "Bukovsk\u00FD, Ivo" . . "B\u00EDla, Ji\u0159\u00ED" . . "adaptation; classification; nonconventional artificial neural unit; nonlinear aggregating function; notation; synaptic junction; time delay"@en . "The paper introduces basic types of nonconventional artificial neural units, their notation and classification. The notation and classification of dynamic higher-order nonlinear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. Introduction into the simplified parallel of higher-order nonlinear aggregating function of artificial nonconventional neural units and synaptic and somatic operation of biological neurons is made. Based on simplified mathematical notation, it is proposed that nonlinear aggregating function of neural inputs should be understood as composition of synaptic and partial somatic neural operation also for static neural units. It unravels novel yet universal insight into understanding computationally powerful neurons. The classification of nonconventional artificial neural units is founded according to nonlinearity of aggregating function, the dynamic order, and time-delay implementation in neural units." . . . "4"^^ . . . "7"^^ . "California" . "P(2B06023)" . "422453" . "2"^^ . "Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units"@en . "Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units" . . . "Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units" . . "RIV/68407700:21220/07:00133313" . . . "Foundation of Notation and Classification of Nonconventional Static and Dynamic Neural Units"@en . "Lake Tahoe, CA" . "Hou, Z.-G." . . "IEEE CS Press" . "2007-08-06+02:00"^^ . "The paper introduces basic types of nonconventional artificial neural units, their notation and classification. The notation and classification of dynamic higher-order nonlinear neural units, time-delay dynamic neural units, and time-delay higher-order nonlinear neural units is introduced. Introduction into the simplified parallel of higher-order nonlinear aggregating function of artificial nonconventional neural units and synaptic and somatic operation of biological neurons is made. Based on simplified mathematical notation, it is proposed that nonlinear aggregating function of neural inputs should be understood as composition of synaptic and partial somatic neural operation also for static neural units. It unravels novel yet universal insight into understanding computationally powerful neurons. The classification of nonconventional artificial neural units is founded according to nonlinearity of aggregating function, the dynamic order, and time-delay implementation in neural units."@en . "21220" . . . "000250542300051" . .