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.File in questo prodotto:
File | Dimensione | Formato | |
---|---|---|---|
Non-linear neuro-inspired circuits and systems.pdf
solo gestori archivio
Tipologia:
Versione Editoriale (PDF)
Dimensione
178.04 kB
Formato
Adobe PDF
|
178.04 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.