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Hebbian Learning from Spiking Neural P Systems View

Authors:

Miguel A. Gutiérrez-Naranjo,

Mario J. Pérez-JiménezAuthors Info & Claims

Membrane Computing: 9th International Workshop, WMC 2008, Edinburgh, UK, July 28-31, 2008, Revised Selected and Invited Papers

January 2009

Pages 217 - 230

https://doi.org/10.1007/978-3-540-95885-7_16

Published: 15 January 2009 Publication History

Abstract

<em>Spiking neural P systems</em> and <em>artificial neural networks</em> are computational devices which share a biological inspiration based on the flow of information among neurons. In this paper we present a first model for Hebbian learning in the framework of spiking neural P systems by using concepts borrowed from neuroscience and artificial neural network theory.

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Cited By

Chen ZZhang PWang XShi XWu TZheng P(2018)A computational approach for nuclear export signals identification using spiking neural P systemsNeural Computing and Applications10.1007/s00521-016-2489-z29:3(695-705)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s00521-016-2489-z
Cabarle FAdorna HPérez-Jiménez MSong T(2015)Spiking neural P systems with structural plasticityNeural Computing and Applications10.1007/s00521-015-1857-426:8(1905-1917)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1007/s00521-015-1857-4
Pan LZeng XZhang XJiang Y(2012)Spiking Neural P Systems with Weighted SynapsesNeural Processing Letters10.1007/s11063-011-9201-135:1(13-27)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1007/s11063-011-9201-1
Show More Cited By

Hebbian Learning from Spiking Neural P Systems View

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Information & Contributors

Information

Published In

cover image Guide books

Membrane Computing: 9th International Workshop, WMC 2008, Edinburgh, UK, July 28-31, 2008, Revised Selected and Invited Papers

January 2009

402 pages

ISBN:9783540958840

Editors:
David Wolfe Corne
School of Mathematical and Computer Science, Heriot-Watt University, Edinburgh, UK EH14 8AS
,
Pierluigi Frisco
School of Mathematical and Computer Science, Heriot-Watt University, Edinburgh, UK EH14 4AS
,
Gheorghe Păun
Institute of Mathematics of the Romanian Academy, Bucharest, Romania 014700
,
Grzegorz Rozenberg
Leiden Center of Advanced Computer Science (LIACS), Leiden University, Leiden, The Netherlands 2333 CA
,
Arto Salomaa
Turku Centre for Computer Science (TUCS), Turku, Finland 20520

Publisher

Springer-Verlag

Berlin, Heidelberg

Publication History

Published: 15 January 2009

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Cited By

Chen ZZhang PWang XShi XWu TZheng P(2018)A computational approach for nuclear export signals identification using spiking neural P systemsNeural Computing and Applications10.1007/s00521-016-2489-z29:3(695-705)Online publication date: 1-Feb-2018
https://dl.acm.org/doi/10.1007/s00521-016-2489-z
Cabarle FAdorna HPérez-Jiménez MSong T(2015)Spiking neural P systems with structural plasticityNeural Computing and Applications10.1007/s00521-015-1857-426:8(1905-1917)Online publication date: 1-Nov-2015
https://dl.acm.org/doi/10.1007/s00521-015-1857-4
Pan LZeng XZhang XJiang Y(2012)Spiking Neural P Systems with Weighted SynapsesNeural Processing Letters10.1007/s11063-011-9201-135:1(13-27)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1007/s11063-011-9201-1
Cabarle FAdorna H(2012)On structures and behaviors of spiking neural p systems and petri netsProceedings of the 13th international conference on Membrane Computing10.1007/978-3-642-36751-9_11(145-160)Online publication date: 28-Aug-2012
https://dl.acm.org/doi/10.1007/978-3-642-36751-9_11

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