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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Systematic Construction of Finite State Automata Using VLSI Spiking Neurons
verfasst von : Emre Neftci, Jonathan Binas, Elisabetta Chicca, Giacomo Indiveri, Rodney Douglas
Erschienen in: Biomimetic and Biohybrid Systems
Verlag: Springer Berlin Heidelberg
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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].