SAMUEL FRANCISCO
ROMERO GARCÍA
PROFESOR TITULAR DE UNIVERSIDAD
Eduardo
Fernández Jover
Publicaciones en las que colabora con Eduardo Fernández Jover (14)
2015
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Development of a cortical visual neuroprosthesis for the blind: Replacing the role of the retina
International IEEE/EMBS Conference on Neural Engineering, NER
2012
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An auditory brain-computer interface evoked by natural speech
Journal of Neural Engineering, Vol. 9, Núm. 3
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Replicating the role of the human retina for a cortical visual neuroprosthesis
Developing and Applying Biologically-Inspired Vision Systems: Interdisciplinary Concepts (IGI Global), pp. 346-365
2009
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Erratum: Toward the development of a cortically based visual neuroprosthesis (Journal of Neural Engineering (2009) 6 (035001))
Journal of Neural Engineering
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Toward the development of a cortically based visual neuroprosthesis
Journal of Neural Engineering, Vol. 6, Núm. 3
2008
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Computer aids for visual neuroprosthetic devices
Communications in Computer and Information Science
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Computer-controlled neurostimulation for a visual implant
BIODEVICES 2008 - Proceedings of the 1st International Conference on Biomedical Electronics and Devices
2007
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A design framework to model retinas
BioSystems, Vol. 87, Núm. 2-3, pp. 156-163
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A neuroengineering suite of computational tools for visual prostheses
Neurocomputing, Vol. 70, Núm. 16-18, pp. 2817-2827
2006
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Reconfigurable Retina-Like Preprocessing Platform for Cortical Visual Neuroprostheses
Handbook of Neural Engineering (John Wiley & Sons, Inc.), pp. 267-279
2005
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A computational tool to test neuromorphic encoding schemes for visual neuroprostheses
Lecture Notes in Computer Science
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Development of a cortical visual neuroprosthesis for the blind: The relevance of neuroplasticity
Journal of Neural Engineering, Vol. 2, Núm. 4
2004
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Translating image sequences into spike patterns for cortical neuro-stimulation
Neurocomputing, Vol. 58-60, pp. 885-892
2003
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Cortical visual neuro-prosthesis for the blind: retina-like software/hardware preprocessor
International IEEE/EMBS Conference on Neural Engineering, NER