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CORR
2007
Springer
73views Education» more  CORR 2007»
15 years 17 days ago
Efficient supervised learning in networks with binary synapses
Carlo Baldassi, Alfredo Braunstein, Nicolas Brunel...
134
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CICC
2011
106views more  CICC 2011»
14 years 17 days ago
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
Efforts to achieve the long-standing dream of realizing scalable learning algorithms for networks of spiking neurons in silicon have been hampered by (a) the limited scalability of...
Jae-sun Seo, Bernard Brezzo, Yong Liu, Benjamin D....
89
Voted
NIPS
2007
15 years 2 months ago
Learning to classify complex patterns using a VLSI network of spiking neurons
We propose a compact, low power VLSI network of spiking neurons which can learn to classify complex patterns of mean firing rates on–line and in real–time. The network of int...
Srinjoy Mitra, Giacomo Indiveri, Stefano Fusi
69
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NECO
1998
69views more  NECO 1998»
15 years 7 days ago
Synaptic Runaway In Associative Networks And The Pathogenesis Of Schizophrenia
Synaptic runaway denotes the formationof erroneous synapses and premature functional decline accompanying activity-dependent learning in neural networks. This work studies synapti...
Asnat Greenstein-Messica, Eytan Ruppin
JMLR
2008
141views more  JMLR 2008»
15 years 17 days ago
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...