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17 Publikationen

2009 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426571
Indiveri, G., Chicca, E., Douglas, R.J.: Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition. Cognitive Computation. 1, 119-127 (2009).
PUB | PDF | DOI | WoS
 
2007 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426576
Chicca, E., Whatley, A.M., Lichtsteiner, P., Dante, V., Delbruck, T., Del Giudice, P., Douglas, R.J., Indiveri, G.: A multi-chip pulse-based neuromorphic infrastructure and its application to a model of orientation selectivity. IEEE-Transactions on Circuits and Systems I: Regular Papers. 54, 981-993 (2007).
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2007 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427704
Chicca, E., Indiveri, G., Douglas, R.J.: Context dependent amplification of both rate and event-correlation in a VLSI network of spiking neurons. Presented at the Advances in Neural Information Processing Systems 19 (NIPS) (2007).
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2006 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426586
Indiveri, G., Chicca, E., Douglas, R.J.: A VLSI array of low-power spiking neurons and bistable synapses with spike-timing dependent plasticity. IEEE Transactions on Neural Networks. 17, 211-221 (2006).
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427656
Ben Dayan Rubin, D., Chicca, E., Indiveri, G.: Firing proprieties of an adaptive analog VLSI neuron. Presented at the Proceedings of Bio-ADIT, Lausanne, Switzerland (2004).
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2004 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2427723
Indiveri, G., Chicca, E., Douglas, R.: A VLSI reconfigurable network of integrate-and-fire neurons with spike-based learning synapses. Presented at the Proceedings of 12th European Symposium on Artificial Neural Networks (ESANN), Bruges (Belgium) (2004).
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2003 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2426595
Chicca, E., Badoni, D., Dante, V., D'Andreagiovanni, M., Salina, G., Carota, L., Fusi, S., Del Giudice, P.: A VLSI recurrent network of integrate-and-fire neurons connected by plastic synapses with long-term memory. IEEE Transactions on Neural Networks. 14, 1297-1307 (2003).
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