Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • Persone
  • Pubblicazioni
  • Strutture
  • Competenze
  1. Pubblicazioni

Chapter 18 - Organic Memristor Based Elements for Bio-inspired Computing

Capitolo di libro
Data di Pubblicazione:
2017
Abstract:
Bio-based/bio-inspired systems are attracting the interest of many studies even if we are far from reproducing the simplest living cell property. The concept of memory is particularly well suited for mimicking learning behavior in biosystems and in information processing systems being capable of coupling inherently memory and logic capabilities. Bio-electronics is another challenging platform, mostly if we consider organic devices based on conductive and biocompatible polymers. This chapter deals with several examples of devices developed by joining unconventional computing, organic memristors and living being. Starting from organic memristors we realized logic gates with memory and a single layer perceptron. We developed hybrid systems based on living beings as key elements for the proper device working, in particular with Phyarum polycephalum and neurons. These devices enable new and unexplored opportunities in such emerging field of research.
Tipologia CRIS:
02.01 Contributo in volume (Capitolo o Saggio)
Keywords:
organic memristor; unconventional computing
Elenco autori:
Dimonte, Alice; Battistoni, Silvia; Erokhin, Victor
Autori di Ateneo:
BATTISTONI SILVIA
EROKHIN VICTOR
Link alla scheda completa:
https://iris.cnr.it/handle/20.500.14243/353811
Titolo del libro:
ADVANCES IN UNCONVENTIONAL COMPUTING, VOL 2: PROTOTYPES, MODELS AND ALGORITHMS
Pubblicato in:
EMERGENCE, COMPLEXITY AND COMPUTATION
Series
  • Dati Generali

Dati Generali

URL

https://link.springer.com/chapter/10.1007/978-3-319-33921-4_18
  • Utilizzo dei cookie

Realizzato con VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)