Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Elena Cerezuela-Escudero"'
Publikováno v:
RED. Revista de Educación a Distancia, Iss 24, Pp 1-8 (2010)
IMS-Learning Design es una especificación pedagógicamente neutral que permite la creación de escenarios y contenidos educativos promoviendo la reusabilidad y permitiendo un amplio abanico de enfoques didácticos. No obstante, aún siendo especialm
Externí odkaz:
https://doaj.org/article/66abc65b432140c0b468592f2e48eecc
Autor:
Arturo Morgado-Estevez, Rafael Paz Vicente, Gabriel Jiménez Moreno, Elena Cerezuela Escudero, Fernando Pérez Peña, Angel Jimenez-Fernandez
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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This paper proposes a real-time sound source localization and tracking architecture based on the abilityof the mammalian auditory system using the interaural intensity difference. We used an innovative bin- aural Neuromorphic Auditory Sensor to obtai
Autor:
Juan Pedro Dominguez-Morales, Angel Jimenez-Fernandez, Manuel Domínguez-Morales, Daniel Gutierrez-Galan, Elena Cerezuela-Escudero, M. Rivas-Perez, Ricardo Tapiador-Morales, Alejandro Linares-Barranco, Antonio Rios-Navarro
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
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Recent biological studies have focused on understanding animal interactions and welfare. To help biolo- gists to obtain animals’ behavior information, resources like wireless sensor networks are needed. More- over, large amounts of obtained data ha
Autor:
Elena Cerezuela-Escudero, Fernando Perez-Peña, Arturo Morgado-Estevez, Angel Jimenez-Fernandez
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
ISCAS
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ISCAS
This live demonstration presents a sound source localization and tracking system implemented with Spike Signal Processing (SSP) building blocks on FPGA devices. The system architecture is based on the ability of the mammalian auditory system to locat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::931fd565c58aad2691bcf005fb7e2cd4
Autor:
Angel Jimenez-Fernandez, Juan Pedro Dominguez-Morales, Manuel Domínguez-Morales, Ricardo Tapiador-Morales, Elena Cerezuela-Escudero, Alejandro Linares-Barranco, Antonio Rios-Navarro, Daniel Gutierrez-Galan
Publikováno v:
ISCAS
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
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In this demonstration we present a spiking neural network architecture for audio samples classification using SpiNNaker. The network consists of different leaky integrate-and-fire neuron layers. The connections between them are trained using firing r
Autor:
L. Miro-Amarante, Angel Jimenez-Fernandez, Manuel Jesus Dominguez-Moralse, Elena Cerezuela-Escudero, Alejandro Linares-Barranco, F. Gomez-Rodriguez, Gabriel Jimenez-Moreno
Publikováno v:
IEEE transactions on neural networks and learning systems. 28(4)
This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain. Unlike digital cochleae that decompose audio si
Autor:
Manuel Domínguez-Morales, Juan Pedro Dominguez-Morales, Alejandro Linares-Barranco, Angel Jimenez-Fernandez, Elena Cerezuela-Escudero, R. Paz-Vicente
Publikováno v:
Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447803
ICANN (2)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
ICANN (2)
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
In this paper, we explore the capabilities of a sound classification system that combines a Neuromorphic Auditory System for feature extraction and an artificial neural network for classification. Two models of neural network have been used: Multilay
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0431b905410b55d8098fac04bf85c041
https://doi.org/10.1007/978-3-319-44781-0_43
https://doi.org/10.1007/978-3-319-44781-0_43
Autor:
Elena Cerezuela-Escudero, Juan Pedro Dominguez-Morales, Daniel Gutierrez-Galan, Manuel Domínguez-Morales, Antonio Rios-Navarro, Angel Jimenez-Fernandez, Gabriel Jimenez-Moreno
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447773
ICANN (1)
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Artificial Neural Networks and Machine Learning – ICANN 2016 ISBN: 9783319447773
ICANN (1)
Audio classification has always been an interesting subject of research inside the neuromorphic engineering field. Tools like Nengo or Brian, and hardware platforms like the SpiNNaker board are rapidly increasing in popularity in the neuromorphic com
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ad12cf2a06bb4ec606b1c0aa03c2a95
Autor:
Daniel Gutierrez-Galan, Antonio Rios-Navarro, Juan Pedro Dominguez-Morales, Ricardo Tapiador-Morales, C. Martín-Cañal, Elena Cerezuela-Escudero, Alejandro Linares-Barranco
Publikováno v:
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
Distributed Computing and Artificial Intelligence, 13th International Conference ISBN: 9783319401614
DCAI
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Distributed Computing and Artificial Intelligence, 13th International Conference ISBN: 9783319401614
DCAI
The study and monitoring of wildlife has always been a subject of great interest. Studying the behavior of wildlife animals is a very complex task due to the difficulties to track them and classify their behaviors through the collected sensory inform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::29b28f05d254a7be6434cdc202b1b903
Autor:
Manuel Domínguez-Morales, Elena Cerezuela-Escudero, Alejandro Linares-Barranco, Gabriel Jimenez-Moreno, Angel Jimenez-Fernandez, R. Paz-Vicente
Publikováno v:
IJCNN
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
idUS. Depósito de Investigación de la Universidad de Sevilla
instname
In this paper, we explore the capabilities of a sound classification system that combines both a novel FPGA cochlear model implementation and a bio-inspired technique based on a trained convolutional spiking network. The neuromorphic auditory system