A system for transmitting a coherent burst of activity through a network of spiking neurons

J. Bose; S. B. Furber; J. L. Shapiro

doi:10.1007/11731177_7

A system for transmitting a coherent burst of activity through a network of spiking neurons

J. Bose, S. B. Furber, J. L. Shapiro

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Research output: Chapter in Book/Conference proceeding › Conference contribution

Abstract

In this paper we examine issues involving the transmission of information by spike trains through networks made of real time asynchronous spiking neurons. For our convenience we use a spiking model that is has an intrinsic delay between an input and output spike. We look at issues involving transmission of a desired average level of stable spiking activity over many layers, and show how feed-back reset inhibition can achieve this aim. We then deal with the coherence of spike trains and show that it is possible for a burst of spikes emitted by a layer to not diverge when passing through different layers of neurons. We present the results of simulations done on a multi layered feed-forward system to illustrate our method. © Springer-Verlag Berlin Heidelberg 2006.

Original language	English
Title of host publication	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)\|Lect. Notes Comput. Sci.
Publisher	Springer Nature
Pages	44-48
Number of pages	4
Volume	3931
ISBN (Print)	3540331832, 9783540331834
DOIs	https://doi.org/10.1007/11731177_7
Publication status	Published - 2006
Event	16th Italian Workshop on Neural Nets, WIRN 2005, and International Workshop on Natural and Artificial Immune Systems, NAIS 2005 - Vietri sul Mare Duration: 1 Jul 2006 → … http://dblp.uni-trier.de/db/conf/wirn/wirn2005.html#BoseFS05http://dblp.uni-trier.de/rec/bibtex/conf/wirn/BoseFS05.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/wirn/BoseFS05

Publication series

Name	Lecture Notes in Computer Science

Conference

Conference	16th Italian Workshop on Neural Nets, WIRN 2005, and International Workshop on Natural and Artificial Immune Systems, NAIS 2005
City	Vietri sul Mare
Period	1/07/06 → …
Internet address	http://dblp.uni-trier.de/db/conf/wirn/wirn2005.html#BoseFS05http://dblp.uni-trier.de/rec/bibtex/conf/wirn/BoseFS05.xmlhttp://dblp.uni-trier.de/rec/bibtex/conf/wirn/BoseFS05

Access to Document

10.1007/11731177_7

Cite this

Bose, J., Furber, S. B., & Shapiro, J. L. (2006). A system for transmitting a coherent burst of activity through a network of spiking neurons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci. (Vol. 3931, pp. 44-48). (Lecture Notes in Computer Science). Springer Nature. https://doi.org/10.1007/11731177_7

Bose, J. ; Furber, S. B. ; Shapiro, J. L. / A system for transmitting a coherent burst of activity through a network of spiking neurons. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3931 Springer Nature, 2006. pp. 44-48 (Lecture Notes in Computer Science).

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abstract = "In this paper we examine issues involving the transmission of information by spike trains through networks made of real time asynchronous spiking neurons. For our convenience we use a spiking model that is has an intrinsic delay between an input and output spike. We look at issues involving transmission of a desired average level of stable spiking activity over many layers, and show how feed-back reset inhibition can achieve this aim. We then deal with the coherence of spike trains and show that it is possible for a burst of spikes emitted by a layer to not diverge when passing through different layers of neurons. We present the results of simulations done on a multi layered feed-forward system to illustrate our method. {\textcopyright} Springer-Verlag Berlin Heidelberg 2006.",

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Bose, J, Furber, SB & Shapiro, JL 2006, A system for transmitting a coherent burst of activity through a network of spiking neurons. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. vol. 3931, Lecture Notes in Computer Science, Springer Nature, pp. 44-48, 16th Italian Workshop on Neural Nets, WIRN 2005, and International Workshop on Natural and Artificial Immune Systems, NAIS 2005, Vietri sul Mare, 1/07/06. https://doi.org/10.1007/11731177_7

A system for transmitting a coherent burst of activity through a network of spiking neurons. / Bose, J.; Furber, S. B.; Shapiro, J. L.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3931 Springer Nature, 2006. p. 44-48 (Lecture Notes in Computer Science).

Research output: Chapter in Book/Conference proceeding › Conference contribution

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AB - In this paper we examine issues involving the transmission of information by spike trains through networks made of real time asynchronous spiking neurons. For our convenience we use a spiking model that is has an intrinsic delay between an input and output spike. We look at issues involving transmission of a desired average level of stable spiking activity over many layers, and show how feed-back reset inhibition can achieve this aim. We then deal with the coherence of spike trains and show that it is possible for a burst of spikes emitted by a layer to not diverge when passing through different layers of neurons. We present the results of simulations done on a multi layered feed-forward system to illustrate our method. © Springer-Verlag Berlin Heidelberg 2006.

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Bose J, Furber SB , Shapiro JL. A system for transmitting a coherent burst of activity through a network of spiking neurons. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|Lect. Notes Comput. Sci.. Vol. 3931. Springer Nature. 2006. p. 44-48. (Lecture Notes in Computer Science). doi: 10.1007/11731177_7

A system for transmitting a coherent burst of activity through a network of spiking neurons

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