A VLSI neuromorphic device for implementing spike-based neural networks
Indiveri G, Chicca E (2011)
Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).
Konferenzbeitrag
| Veröffentlicht | Englisch
Autor*in
Indiveri, G.;
Chicca, ElisabettaUniBi 
Herausgeber*in
Apolloni, B.;
Bassis, S.;
Esposito, A.;
Morabito, C. F.
Einrichtung
Abstract / Bemerkung
We present a neuromorphic VLSI device which comprises hybrid analog/digital circuits for implementing networks of spiking neurons. Each neuron integrates input currents from a row of multiple analog synaptic circuit. The synapses integrate incoming spikes, and produce output currents which have temporal dynamics analogous to those of biological post synaptic currents. The VLSI device can be used to implement real-time models of cortical networks, as well as real-time learning and classification tasks. We describe the chip architecture and the analog circuits used to implement the neurons and synapses. We describe the functionality of these circuits and present experimental results demonstrating the network level functionality.
Stichworte
Winner-Take-All (WTA);
spike-based plasticity;
STDP;
learning;
Address-Event Representation (AER);
Integrate-and-Fire (I&F) neuron;
Neuromorphic circuits;
synapse
Erscheinungsjahr
2011
Seite(n)
305-316
Konferenz
Proceedings of the 21st Italian Workshop on Neural Nets (WIRN)
ISBN
978-1-60750-971-4
Page URI
https://pub.uni-bielefeld.de/record/2468427
Zitieren
Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).
Indiveri, G., & Chicca, E. (2011). A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN). doi:10.3233/978-1-60750-972-1-305
Indiveri, G., and Chicca, Elisabetta. 2011. “A VLSI neuromorphic device for implementing spike-based neural networks”. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN) , ed. B. Apolloni, S. Bassis, A. Esposito, and C. F. Morabito, 305-316.
Indiveri, G., and Chicca, E. (2011).“A VLSI neuromorphic device for implementing spike-based neural networks”. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).
Indiveri, G., & Chicca, E., 2011. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN)
G. Indiveri and E. Chicca, “A VLSI neuromorphic device for implementing spike-based neural networks”, Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN), 2011.
Indiveri, G., Chicca, E.: A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN) (2011).
Indiveri, G., and Chicca, Elisabetta. “A VLSI neuromorphic device for implementing spike-based neural networks”. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN), 2011.
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Access Level
Open Access
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