Effects of different connectivity patterns in a model of cortical circuits

Aguirre, Carlos; Campos Castillo, Doris; Pascual Broncano, Pedro José; Serrano Jerez, Eduardo

UAM_Biblioteca

dc.contributor.author	Aguirre, Carlos
dc.contributor.author	Campos Castillo, Doris
dc.contributor.author	Pascual Broncano, Pedro José
dc.contributor.author	Serrano Jerez, Eduardo
dc.contributor.other	UAM. Departamento de Ingeniería Informática	es_ES
dc.date.accessioned	2015-03-17T18:55:07Z
dc.date.available	2015-03-17T18:55:07Z
dc.date.issued	2003
dc.identifier.citation	Computational Methods in Neural Modeling: 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003 Maó, Menorca, Spain, June 3–6, 2003 Proceedings, Part I. Lecture Notes in Computer Science, Volumen 2686. Springer 2003.78-85.	en_US
dc.identifier.isbn	978-3-540-40210-7 (print)	en_US
dc.identifier.isbn	978-3-540-44868-6 (online)	en_US
dc.identifier.issn	0302-9743 (print)	en_US
dc.identifier.issn	1611-3349 (online)	en_US
dc.identifier.uri	http://hdl.handle.net/10486/664628
dc.description	The final publication is available at Springer via http://dx.doi.org/10.1007/3-540-44868-3_11	en_US
dc.description	Proceedings of 7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003 Maó, Menorca, Spain, June 3–6, 2003, Part I	en_US
dc.description.abstract	Cortical circuits are usually modeled as a network of excitatory and inhibitory neurons with a completely regular or a random connectivity pattern. However, neuroanatomy of the macaque and the cat cortex shows that cortical neurons are organized into densely linked groups that are sparsely and reciprocally interconnected. Interesting properties arise in the average activity of an ensemble of cortical neurons when the topology of the network itself is an intrinsic parameter of the model that can vary with a given set of rules. In this work we show that both the temporal activity and the encoded rhythms in an ensemble of cortical neurons depend on the topology of the network.	en_US
dc.description.sponsorship	We thank the Ministerio de Ciencia y Tecnolog a (BFI 2000-015). (PP) and (CA) are partially supported by BFM2002-02359. (PP) and (CA) also receive a partial support by POCTI/MAT/40706/2001. (ES) receive a partial support by (TIC 2002-572-C02-02).	en_US
dc.format.extent	9 pág.	es_ES
dc.format.mimetype	application/pdf	en
dc.language.iso	eng	en
dc.publisher	Springer Berlin Heidelberg
dc.relation.ispartof	Lecture Notes in Computer Science	en_US
dc.rights	© Springer-Verlag Berlin Heidelberg 2003
dc.subject.other	Computation by Abstract Devices	en_US
dc.subject.other	Algorithm Analysis and Problem Complexity	en_US
dc.subject.other	Pattern Recognition	en_US
dc.subject.other	Evolutionary Biology	en_US
dc.subject.other	Artificial Intelligence	en_US
dc.title	Effects of different connectivity patterns in a model of cortical circuits	en_US
dc.type	conferenceObject	en
dc.type	bookPart	en
dc.subject.eciencia	Informática	es_ES
dc.relation.publisherversion	http://dx.doi.org/10.1007/3-540-44868-3_11
dc.identifier.doi	10.1007/3-540-44868-3_11
dc.identifier.publicationfirstpage	78
dc.identifier.publicationlastpage	85
dc.identifier.publicationvolume	2686
dc.relation.eventdate	June 3–6, 2003	en_US
dc.relation.eventnumber	7
dc.relation.eventplace	Maó, Menorca (Spain)	en_US
dc.relation.eventtitle	7th International Work-Conference on Artificial and Natural Neural Networks, IWANN 2003	en_US
dc.type.version	info:eu-repo/semantics/acceptedVersion	en
dc.contributor.group	Neurocomputación Biológica (ING EPS-005)	es_ES
dc.rights.accessRights	openAccess	en
dc.authorUAM	Serrano Jerez, Eduardo (258886)
dc.facultadUAM	Escuela Politécnica Superior