In this chapter the main elements useful for the design and realization of the neural architectures reported in the following chapters will be presented. Considering spiking and non-spiking neurons, the models used for implementing each of them, the synaptic models, the basic learning and plasticity algorithms and the network architectures will be introduced and analysed. The key elements that led to their selection and application in the developed neuro-inspired systems will be discussed briefly.

Non-linear neuro-inspired circuits and systems: Processing and learning issues

Patanè, Luca
;
Arena, Paolo
2018-01-01

Abstract

In this chapter the main elements useful for the design and realization of the neural architectures reported in the following chapters will be presented. Considering spiking and non-spiking neurons, the models used for implementing each of them, the synaptic models, the basic learning and plasticity algorithms and the network architectures will be introduced and analysed. The key elements that led to their selection and application in the developed neuro-inspired systems will be discussed briefly.
2018
978-3-319-73346-3
978-3-319-73347-0
Biotechnology; Chemical Engineering (all); Mathematics (all); Materials Science (all); Energy Engineering and Power Technology; Engineering (all)
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11769/334781
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