Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Fernando Pérez-Peña"'
Publikováno v:
Neural Computing and Applications. 34:15649-15660
Reward-modulated Spike-Timing-Dependent Plasticity (R-STDP) is a learning method for Spiking Neural Network (SNN) that makes use of an external learning signal to modulate the synaptic plasticity produced by Spike-Timing-Dependent Plasticity (STDP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ced79ec483576e66236cfd43e77393e
https://doi.org/10.1007/s00521-022-07220-6
https://doi.org/10.1007/s00521-022-07220-6
Autor:
Blas Salvador Domínguez, Arturo Morgado-Estevez, Francisco Luna Perejon, Elena Escobar, José María Rodríguez Corral, Fernando Pérez-Peña
Publikováno v:
Sensors
Volume 23
Issue 3
Pages: 1298
Volume 23
Issue 3
Pages: 1298
Nowadays, the study of the gait by analyzing the distribution of plantar pressure is a well-established technique. The use of intelligent insoles allows real-time monitoring of the user. Thus, collecting and analyzing information is a more accurate p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a4fd8e2ef45b42dfa3913abbcf08a2a8
Autor:
Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra, Pedro L. Galindo, Fernando Perez-Peña, Gianvito Urgese, Chiara Bartolozzi
Publikováno v:
SoftwareX, Vol 27, Iss , Pp 101759- (2024)
Neuromorphic computing relies on event-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spiking representation. This is usually accomplished by using the real-val
Externí odkaz:
https://doaj.org/article/660863bb39ad4f84ad6ea9f6bf0254ef
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
instname
instname
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
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b42af42d2b9bec8a1e63eb7562ca8a5c
https://doi.org/10.1016/j.neucom.2017.12.041
https://doi.org/10.1016/j.neucom.2017.12.041
Publikováno v:
Advanced Intelligent Systems, Vol 6, Iss 5, Pp n/a-n/a (2024)
For some years now, the locomotion mechanisms used by vertebrate animals have been a major inspiration for the improvement of robotic systems. These mechanisms range from adapting their movements to move through the environment to the ability to chas
Externí odkaz:
https://doaj.org/article/bfbcf7b7f22343bcafa4c641a9101494
Autor:
María-Ángeles Cifredo-Chacón, Fernando Pérez Peña, Angel Quiros-Olozabal, Juan-José González-de-la-Rosa
Publikováno v:
Energies; Volume 12; Issue 5; Pages: 914
Energies 2019, 12, 914
Energies, Vol 12, Iss 5, p 914 (2019)
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
Energies 2019, 12, 914
Energies, Vol 12, Iss 5, p 914 (2019)
RODIN. Repositorio de Objetos de Docencia e Investigación de la Universidad de Cádiz
instname
Motivated by the effects of deregulation over power quality and the subsequent need of new types of measurements, this paper assesses different implementations of an estimate for the spectral kurtosis, considered as a low-level harmonic detection. Pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::878d1b99ac9e7efa0f14daf4c883592f
Publikováno v:
Frontiers in Neuroscience, Vol 18 (2024)
Externí odkaz:
https://doaj.org/article/560b356476704738b30e51b6e78071fe
Autor:
Daniel Casanueva-Morato, Alvaro Ayuso-Martinez, Juan P. Dominguez-Morales, Angel Jimenez-Fernandez, Gabriel Jimenez-Moreno, Fernando Perez-Peña
Publikováno v:
Advanced Intelligent Systems, Vol 5, Iss 11, Pp n/a-n/a (2023)
The brain has great capacity for computation and efficient resolution of complex problems, far surpassing modern computers. Neuromorphic engineering seeks to mimic the basic principles of the brain to develop systems capable of achieving such capabil
Externí odkaz:
https://doaj.org/article/41617e81d07b4c569ee7f93ae3aa0ad9
Autor:
Fernando M Quintana, Fernando Perez-Peña, Pedro L Galindo, Emre O Neftci, Elisabetta Chicca, Lyes Khacef
Publikováno v:
Neuromorphic Computing and Engineering, Vol 4, Iss 3, p 034006 (2024)
Neuromorphic perception with event-based sensors, asynchronous hardware, and spiking neurons shows promise for real-time, energy-efficient inference in embedded systems. Brain-inspired computing aims to enable adaptation to changes at the edge with o
Externí odkaz:
https://doaj.org/article/9c67aaea537d496e893f8534e7a7cec2
Autor:
Daniel J. Rosa-Gallardo, Juan Carlos de la Torre, Fernando M. Quintana, Juan P. Dominguez-Morales, Fernando Perez-Peña
Publikováno v:
SoftwareX, Vol 22, Iss , Pp 101349- (2023)
The neuromorphic engineering field aims to mimic complex biological structures by means of mathematical models, implementing them in either analog or digital circuits. These models include the dynamic characteristics of biological neurons and synapse
Externí odkaz:
https://doaj.org/article/4b486ace0ac744f687a94640798714fe