Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems

Chicca E, Stefanini F, Bartolozzi C, Indiveri G (2014)
In: Proceedings of the IEEE. Proceedings of the IEEE, 102(9). Piscataway, NJ: IEEE: 1367-1388.

Konferenzbeitrag | Veröffentlicht | Englisch
 
Download
OA
Restricted Chicca_etal14b.pdf 2.02 MB
Autor*in
Chicca, ElisabettaUniBi ; Stefanini, Fabio; Bartolozzi, Chiara; Indiveri, Giacomo
Abstract / Bemerkung
Several analog and digital brain-inspired electronic systems have been recently proposed as dedicated solutions for fast simulations of spiking neural networks. While these architectures are useful for exploring the computational properties of large-scale models of the nervous system, the challenge of building low-power compact physical artifacts that can behave intelligently in the real world and exhibit cognitive abilities still remains open. In this paper, we propose a set of neuromorphic engineering solutions to address this challenge. In particular, we review neuromorphic circuits for emulating neural and synaptic dynamics in real time and discuss the role of biophysically realistic temporal dynamics in hardware neural processing architectures; we review the challenges of realizing spike-based plasticity mechanisms in real physical systems and present examples of analog electronic circuits that implement them; we describe the computational properties of recurrent neural networks and show how neuromorphic winner-take-all circuits can implement working-memory and decision-making mechanisms. We validate the neuromorphic approach proposed with experimental results obtained from our own circuits and systems, and argue how the circuits and networks presented in this work represent a useful set of components for efficiently and elegantly implementing neuromorphic cognition.
Stichworte
Cognitive systemslearning systemsneuromorphic engineeringreal-time neuromorphic systemsspike-timing-dependent plasticity (STDP)spiking neural network architecturesubthreshold analog circuitsvery large-scale integration (VLSI)winner-take-all (WTA)
Erscheinungsjahr
2014
Titel des Konferenzbandes
Proceedings of the IEEE
Serien- oder Zeitschriftentitel
Proceedings of the IEEE
Band
102
Ausgabe
9
Seite(n)
1367-1388
ISSN
0018-9219
eISSN
1558-2256
Page URI
https://pub.uni-bielefeld.de/record/2675066

Zitieren

Chicca E, Stefanini F, Bartolozzi C, Indiveri G. Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. In: Proceedings of the IEEE. Proceedings of the IEEE. Vol 102. Piscataway, NJ: IEEE; 2014: 1367-1388.
Chicca, E., Stefanini, F., Bartolozzi, C., & Indiveri, G. (2014). Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE, Proceedings of the IEEE, 102, 1367-1388. Piscataway, NJ: IEEE. doi:10.1109/JPROC.2014.2313954
Chicca, Elisabetta, Stefanini, Fabio, Bartolozzi, Chiara, and Indiveri, Giacomo. 2014. “Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems”. In Proceedings of the IEEE, 102:1367-1388. Proceedings of the IEEE. Piscataway, NJ: IEEE.
Chicca, E., Stefanini, F., Bartolozzi, C., and Indiveri, G. (2014). “Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems” in Proceedings of the IEEE Proceedings of the IEEE, vol. 102, (Piscataway, NJ: IEEE), 1367-1388.
Chicca, E., et al., 2014. Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. In Proceedings of the IEEE. Proceedings of the IEEE. no.102 Piscataway, NJ: IEEE, pp. 1367-1388.
E. Chicca, et al., “Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems”, Proceedings of the IEEE, Proceedings of the IEEE, vol. 102, Piscataway, NJ: IEEE, 2014, pp.1367-1388.
Chicca, E., Stefanini, F., Bartolozzi, C., Indiveri, G.: Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE. Proceedings of the IEEE. 102, p. 1367-1388. IEEE, Piscataway, NJ (2014).
Chicca, Elisabetta, Stefanini, Fabio, Bartolozzi, Chiara, and Indiveri, Giacomo. “Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems”. Proceedings of the IEEE. Piscataway, NJ: IEEE, 2014.Vol. 102. Proceedings of the IEEE. 1367-1388.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
Dieses Objekt ist durch das Urheberrecht und/oder verwandte Schutzrechte geschützt. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2019-09-06T09:18:23Z
MD5 Prüfsumme
a4e9db948b344bf7ab80513d6a5376a3
Name
Chicca_etal14b.pdf 2.02 MB
Access Level
Restricted Closed Access
Zuletzt Hochgeladen
2019-09-06T09:18:23Z
MD5 Prüfsumme
61ae4d039e8b53ff1471d0d8ded24609


Export

Markieren/ Markierung löschen
Markierte Publikationen

Open Data PUB

Web of Science

Dieser Datensatz im Web of Science®
Suchen in

Google Scholar