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dc.creatorDomínguez Morales, Juan Pedroes
dc.creatorJiménez Fernández, Ángel Franciscoes
dc.creatorDomínguez Morales, Manuel Jesúses
dc.creatorJiménez Moreno, Gabrieles
dc.date.accessioned2020-01-10T10:19:45Z
dc.date.available2020-01-10T10:19:45Z
dc.date.issued2017
dc.identifier.citationDomínguez Morales, J.P., Jiménez Fernández, Á.F., Domínguez Morales, M.J. y Jiménez Moreno, G. (2017). NAVIS: Neuromorphic Auditory VISualizer Tool. Neurocomputing, 237 (may 2017), 418-422.
dc.identifier.issn0925-2312es
dc.identifier.urihttps://hdl.handle.net/11441/91428
dc.description.abstractThis software presents diverse utilities to perform the first post-processing layer taking the neuromorphic auditory sensors (NAS) information. The used NAS implements in FPGA a cascade filters architecture, imitating the behavior of the basilar membrane and inner hair cells and working with the sound information decomposed into its frequency components as spike streams. The well-known neuromorphic hardware interface Address-Event-Representation (AER) is used to propagate auditory information out of the NAS, emulating the auditory vestibular nerve. Using the information packetized into aedat files, which are generated through the jAER software plus an AER to USB computer interface, NAVIS implements a set of graphs that allows to represent the auditory information as cochleograms, histograms, sonograms, etc. It can also split the auditory information into different sets depending on the activity level of the spike streams. The main contribution of this software tool is that it allows complex audio post-processing treatments and representations, which is a novelty for spike-based systems in the neuromorphic community and it will help neuromorphic engineers to build sets for training spiking neural networks (SNN).es
dc.description.sponsorshipMinisterio de Economía y Competitividad TEC2012-37868-C04-02es
dc.formatapplication/pdfes
dc.language.isoenges
dc.publisherElsevieres
dc.relation.ispartofNeurocomputing, 237 (may 2017), 418-422.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectNeuromorphic engineeringes
dc.subjectSpiking neural networkses
dc.subjectAddress-event-representationes
dc.subjectneuro-inspired auditory sensores
dc.titleNAVIS: Neuromorphic Auditory VISualizer Tooles
dc.typeinfo:eu-repo/semantics/articlees
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Arquitectura y Tecnología de Computadoreses
dc.relation.projectIDTEC2012-37868-C04-02es
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0925231216315624es
dc.identifier.doi10.1016/j.neucom.2016.12.046es
idus.format.extent11es
dc.journaltitleNeurocomputinges
dc.publication.volumen237es
dc.publication.issuemay 2017es
dc.publication.initialPage418es
dc.publication.endPage422es

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