Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems

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

Download
OA
Restricted Chicca_etal14b.pdf 2.02 MB
Konferenzbeitrag | Veröffentlicht | Englisch
Volltext vorhanden für diesen Nachweis
Autor
; ; ;
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.
Erscheinungsjahr
Band
102
Ausgabe
9
Seite(n)
1367-1388
ISSN
eISSN
PUB-ID

Zitieren

Chicca E, Stefanini F, Bartolozzi C, Indiveri G. Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE. 2014;102(9):1367-1388.
Chicca, E., Stefanini, F., Bartolozzi, C., & Indiveri, G. (2014). Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE, 102(9), 1367-1388. doi:10.1109/JPROC.2014.2313954
Chicca, E., Stefanini, F., Bartolozzi, C., and Indiveri, G. (2014). Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE 102, 1367-1388.
Chicca, E., et al., 2014. Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE, 102(9), p 1367-1388.
E. Chicca, et al., “Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems”, Proceedings of the IEEE, vol. 102, 2014, pp. 1367-1388.
Chicca, E., Stefanini, F., Bartolozzi, C., Indiveri, G.: Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems. Proceedings of the IEEE. 102, 1367-1388 (2014).
Chicca, Elisabetta, Stefanini, Fabio, Bartolozzi, Chiara, and Indiveri, Giacomo. “Neuromorphic Electronic Circuits for Building Autonomous Cognitive Systems”. Proceedings of the IEEE 102.9 (2014): 1367-1388.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Copyright Statement:
This Item is protected by copyright and/or related rights. [...]
Volltext(e)
Access Level
OA Open Access
Zuletzt Hochgeladen
2014-05-06T13:41:18Z
Name
Chicca_etal14b.pdf 2.02 MB
Access Level
Restricted Closed Access
Zuletzt Hochgeladen
2019-04-08T16:16:28Z