Systematic Construction of Finite State Automata Using VLSI Spiking Neurons

Neftci E, Binas J, Chicca E, Indiveri G, Douglas R (2012)
In: Biomimetic and Biohybrid Systems. Prescott TJ, Lepora NF, Mura A, Verschure PFMJ (Eds); Lecture Notes in Computer Science, 7375. Berlin, Heidelberg: Springer Science + Business Media: 382-383.

Sammelwerksbeitrag | Veröffentlicht | Englisch
 
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Abstract / Bemerkung
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.
Stichworte
WTA; neuromorphic; Computer Science; FSM
Erscheinungsjahr
2012
Buchtitel
Biomimetic and Biohybrid Systems
Band
7375
Seite(n)
382-383
ISBN
978-3-642-31524-4
Page URI
https://pub.uni-bielefeld.de/record/2542681

Zitieren

Neftci E, Binas J, Chicca E, Indiveri G, Douglas R. Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. In: Prescott TJ, Lepora NF, Mura A, Verschure PFMJ, eds. Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science. Vol 7375. Berlin, Heidelberg: Springer Science + Business Media; 2012: 382-383.
Neftci, E., Binas, J., Chicca, E., Indiveri, G., & Douglas, R. (2012). Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. In T. J. Prescott, N. F. Lepora, A. Mura, & P. F. M. J. Verschure (Eds.), Lecture Notes in Computer Science: Vol. 7375. Biomimetic and Biohybrid Systems (pp. 382-383). Berlin, Heidelberg: Springer Science + Business Media. doi:10.1007/978-3-642-31525-1_52
Neftci, E., Binas, J., Chicca, E., Indiveri, G., and Douglas, R. (2012). “Systematic Construction of Finite State Automata Using VLSI Spiking Neurons” in Biomimetic and Biohybrid Systems, Prescott, T. J., Lepora, N. F., Mura, A., and Verschure, P. F. M. J. eds. Lecture Notes in Computer Science, vol. 7375, (Berlin, Heidelberg: Springer Science + Business Media), 382-383.
Neftci, E., et al., 2012. Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. In T. J. Prescott, et al., eds. Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science. no.7375 Berlin, Heidelberg: Springer Science + Business Media, pp. 382-383.
E. Neftci, et al., “Systematic Construction of Finite State Automata Using VLSI Spiking Neurons”, Biomimetic and Biohybrid Systems, T.J. Prescott, et al., eds., Lecture Notes in Computer Science, vol. 7375, Berlin, Heidelberg: Springer Science + Business Media, 2012, pp.382-383.
Neftci, E., Binas, J., Chicca, E., Indiveri, G., Douglas, R.: Systematic Construction of Finite State Automata Using VLSI Spiking Neurons. In: Prescott, T.J., Lepora, N.F., Mura, A., and Verschure, P.F.M.J. (eds.) Biomimetic and Biohybrid Systems. Lecture Notes in Computer Science. 7375, p. 382-383. Springer Science + Business Media, Berlin, Heidelberg (2012).
Neftci, Emre, Binas, Jonathan, Chicca, Elisabetta, Indiveri, Giacomo, and Douglas, Rodney. “Systematic Construction of Finite State Automata Using VLSI Spiking Neurons”. Biomimetic and Biohybrid Systems. Ed. Tony J. Prescott, Nathan F. Lepora, Anna Mura, and Paul F. M. J. Verschure. Berlin, Heidelberg: Springer Science + Business Media, 2012.Vol. 7375. Lecture Notes in Computer Science. 382-383.
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