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- W1937492270 abstract "Spike-event based computational processing by neuronal networks depends on a variety of spatio-temporal mechanisms that are distributed across neuronal synapses, dendrites, and somata. The overall processing of spatio-temporal patterns of spike requires global temporal coherence between all these processes both within a neuron, and across all neurons of the network. We are evaluating the use of networks of hybrid analog-digital integrate-and-fire neurons, fabricated using VLSI, for studying real-time event-based processing. These hardware networks have the advantages of real-time operation, and inherent global synchronization by their analog implementation. However, one of the technical challenges in the operation of such networks is the unavoidable fabrication related variance between the different neurons of the network. Here we show that despite this variance, an important behavior of neuronal networks, spike synchronization, can be obtained from a simple network of VLSI neurons interconnected by lateral excitation and global inhibition." @default.
- W1937492270 created "2016-06-24" @default.
- W1937492270 creator A5030414978 @default.
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- W1937492270 date "2004-11-30" @default.
- W1937492270 modified "2023-10-03" @default.
- W1937492270 title "Spike synchronization in a network of silicon integrate-and-fire neurons" @default.
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- W1937492270 doi "https://doi.org/10.1109/iscas.2004.1329588" @default.
- W1937492270 hasPublicationYear "2004" @default.
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