Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Daniel de Santos-Sierra"'
Autor:
Daniel de Santos-Sierra, Irene Sendiña-Nadal, Inmaculada Leyva, Juan A Almendral, Sarit Anava, Amir Ayali, David Papo, Stefano Boccaletti
Publikováno v:
PLoS ONE, Vol 9, Iss 1, p e85828 (2014)
In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elabo
Externí odkaz:
https://doaj.org/article/10115e3489be4326870014ae908727eb
Autor:
Inmaculada Leyva, Daniel de Santos-Sierra, Irene Sendiña-Nadal, Juan A. Almendral, Stefano Boccaletti
Publikováno v:
SEMA SIMAI Springer Series ISBN: 9783030165840
This work analyzes the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elaborated, clustered, networks. In particular, we introduce and implement a graph-based unsupervised segme
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::258eddf9b39ef4ae816af2b8b1c7b8e8
https://doi.org/10.1007/978-3-030-16585-7_4
https://doi.org/10.1007/978-3-030-16585-7_4
Autor:
Javier Guerra-Casanova, Gonzalo Bailador, Carmen Sanchez-Avila, Ignacio de Mendizabal-Vazquez, Daniel de Santos-Sierra, Miguel F. Arriaga-Gómez, Belen Rios-Sanchez
Publikováno v:
Information Fusion. 32:64-79
In spite of recent efforts in gathering multimodal databases containing a big number of traits, a huge amount of users and covering multiple realistic scenarios, there is still a lack of touch-less realistic samples, video recordings for some traits
Autor:
Amir Ayali, Daniel de Santos-Sierra, Carmen Sanchez-Avila, Juan A. Almendral, Irene Sendiña-Nadal, Sarit Anava, Stefano Boccaletti, Inmaculada Leyva
Publikováno v:
Cytometry Part A. 87:513-523
Large scale phase-contrast images taken at high resolution through the life of a cultured neuronal network are analyzed by a graph-based unsupervised segmentation algorithm with a very low computational cost, scaling linearly with the image size. The
Autor:
Félix de la Paz López, Daniel de Santos Sierra, José Manuel Cuadra Troncoso, José Ramón Álvarez-Sánchez
Publikováno v:
Robotics and Autonomous Systems. 58:1231-1237
Using inspiration from our perception on how humans select the path to walk in crowded areas, a new method for reactive autonomous robot navigation is proposed. The method uses only a part of the detected free space in front of the robot to compute a
Autor:
Mariano Alberto García-Vellisca, Abel Sanchez-Jimenez, José Antonio Villacorta-Atienza, Daniel de Santos-Sierra, Adrian Navas
Publikováno v:
E-Prints Complutense: Archivo Institucional de la UCM
Universidad Complutense de Madrid
Frontiers in Computational Neuroscience
E-Prints Complutense. Archivo Institucional de la UCM
instname
Frontiers in Computational Neuroscience, Vol 9 (2015)
Universidad Complutense de Madrid
Frontiers in Computational Neuroscience
E-Prints Complutense. Archivo Institucional de la UCM
instname
Frontiers in Computational Neuroscience, Vol 9 (2015)
Synchronization is one of the central phenomena involved in information processing in living systems. It is known that the nervous system requires the coordinated activity of both local and distant neural populations. Such an interplay allows to merg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8c16c8bbe932a21a9b228ee692488a80
Publikováno v:
ICCST
Autor:
Daniel de Santos-Sierra (1,2), Irene Sendiña-Nadal (1,3), Inmaculada Leyva (1,3), Juan A. Almendral (1,3), Amir Ayali (4), Sarit Anava (4,5), Carmen Sánchez-Ávila (2), Stefano Boccaletti (6,7)
Publikováno v:
Cytometry. Part A (Online) 87 (2014): 513–523. doi:10.1002/cyto.a.22591
info:cnr-pdr/source/autori:Daniel de Santos-Sierra (1,2); Irene Sendiña-Nadal (1,3); Inmaculada Leyva (1,3); Juan A. Almendral (1,3); Amir Ayali (4); Sarit Anava (4,5); Carmen Sánchez-Ávila (2); Stefano Boccaletti (6,7)/titolo:Graph-based unsupervised segmentation algorithm for cultured neuronal networks' structure characterization and modeling/doi:10.1002%2Fcyto.a.22591/rivista:Cytometry. Part A (Online)/anno:2014/pagina_da:513/pagina_a:523/intervallo_pagine:513–523/volume:87
info:cnr-pdr/source/autori:Daniel de Santos-Sierra (1,2); Irene Sendiña-Nadal (1,3); Inmaculada Leyva (1,3); Juan A. Almendral (1,3); Amir Ayali (4); Sarit Anava (4,5); Carmen Sánchez-Ávila (2); Stefano Boccaletti (6,7)/titolo:Graph-based unsupervised segmentation algorithm for cultured neuronal networks' structure characterization and modeling/doi:10.1002%2Fcyto.a.22591/rivista:Cytometry. Part A (Online)/anno:2014/pagina_da:513/pagina_a:523/intervallo_pagine:513–523/volume:87
Large scale phase-contrast images taken at high resolution through the life of a cultured neuronal network are analyzed by a graph-based unsupervised segmentation algorithm with a very low computational cost, scaling linearly with the image size. The
Autor:
Sarit Anava, Inmaculada Leyva, David Papo, Stefano Boccaletti, Juan A. Almendral, Amir Ayali, Irene Sendiña-Nadal, Daniel de Santos-Sierra
Publikováno v:
PLoS ONE
PloS one 9 (2014): e85828. doi:10.1371/journal.pone.0085828
info:cnr-pdr/source/autori:Daniel de Santos-Sierra (1); Irene Sendiña-Nadal (1,2); Inmaculada Leyva (1,2); Juan A. Almendral (1,2); Sarit Anava (3); Amir Ayali (3); David Papo (1); Stefano Boccaletti (4,5)/titolo:Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures/doi:10.1371%2Fjournal.pone.0085828/rivista:PloS one/anno:2014/pagina_da:e85828/pagina_a:/intervallo_pagine:e85828/volume:9
Plos One, ISSN 1932-6203, 2014-01, Vol. 9, No. 1
Archivo Digital UPM
Universidad Politécnica de Madrid
PLoS ONE, Vol 9, Iss 1, p e85828 (2014)
PloS one 9 (2014): e85828. doi:10.1371/journal.pone.0085828
info:cnr-pdr/source/autori:Daniel de Santos-Sierra (1); Irene Sendiña-Nadal (1,2); Inmaculada Leyva (1,2); Juan A. Almendral (1,2); Sarit Anava (3); Amir Ayali (3); David Papo (1); Stefano Boccaletti (4,5)/titolo:Emergence of Small-World Anatomical Networks in Self-Organizing Clustered Neuronal Cultures/doi:10.1371%2Fjournal.pone.0085828/rivista:PloS one/anno:2014/pagina_da:e85828/pagina_a:/intervallo_pagine:e85828/volume:9
Plos One, ISSN 1932-6203, 2014-01, Vol. 9, No. 1
Archivo Digital UPM
Universidad Politécnica de Madrid
PLoS ONE, Vol 9, Iss 1, p e85828 (2014)
In vitro primary cultures of dissociated invertebrate neurons from locust ganglia are used to experimentally investigate the morphological evolution of assemblies of living neurons, as they self-organize from collections of separated cells into elabo