Systematic Construction of Finite State Automata Using VLSI Spiking Neurons

Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications. These circuits are developed using standard silicon technologies, and exploit the...

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Bibliographic Details
Published inBiomimetic and Biohybrid Systems pp. 382 - 383
Main Authors Neftci, Emre, Binas, Jonathan, Chicca, Elisabetta, Indiveri, Giacomo, Douglas, Rodney
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg 2012
SeriesLecture Notes in Computer Science
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Summary:Spiking neural networks implemented using electronic Very Large Scale Integration (VLSI) circuits are promising information processing architectures for carrying out complex cognitive tasks in real-world applications. These circuits are developed using standard silicon technologies, and exploit the analog properties of transistors to emulate the phenomena underlying the computations and the communication in the brain. Neuromorphic multi-neuron systems can provide a low-power and scalable information processing technology, that is optimally suited for advanced and future VLSI processes [1].
ISBN:9783642315244
3642315240
ISSN:0302-9743
1611-3349
DOI:10.1007/978-3-642-31525-1_52