Systematic Construction of Finite State Automata Using VLSI Spiking Neurons

E. Neftci, J. Binas, E. Chicca, G. Indiveri, R. J. Douglas

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

1 Citation (Scopus)


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].
Original languageEnglish
Title of host publicationBiomimetic and Biohybrid Systems
Subtitle of host publicationFirst International Conference, Living Machines 2012, Barcelona, Spain, July 9-12, 2012. Proceedings
EditorsT. J. Prescott, N. F. Lepora, A. Mura, P. F. M. J. Verschure
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin / Heidelberg
Number of pages2
ISBN (Print)978-3-642-31524-4
Publication statusPublished - 2012
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg

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