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Artículo
Tesis Doctoral
Evaluación y análisis de una aproximación a la fusión sensorial neuronal mediante el uso de sensores pulsantes de visión / audio y redes neuronales de convolución
(2017-07-19)
En este trabajo se pretende avanzar en el conocimiento y posibles implementaciones hardware de los mecanismos de Deep Learning, así como el uso de la fusión sensorial de forma eficiente utilizando dichos mecanismos. Para ...
Ponencia
Proceso de enseñanza-aprendizaje de los fundamentos de programación mediante metodología ABP aplicando las herramientas ofrecidas por una plataforma de enseñanza virtual en cada fase del proceso
(Asociación de Enseñantes Universitarios de la Informática (AENUI), 2012)
En este artículo se presenta la metodología empleada en la formación de los alumnos del Grado en Ingeniería Química Industrial, en la asignatura de Informática. Durante el desarrollo de dicho curso, estructurado en ...
Ponencia
Musical notes classification with Neuromorphic Auditory System using FPGA and a Convolutional Spiking Network
(IEEE Computer Society, 2015)
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. ...
Artículo
Embedded neural network for real-time animal behavior classification
(Elsevier, 2018)
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 ...
Ponencia
Sound Recognition System Using Spiking and MLP Neural Networks
(Springer, 2016)
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 ...
Ponencia
On the Designing of Spikes Band-Pass Filters for FPGA
(Springer, 2011)
In this paper we present two implementations of spike-based bandpass filters, which are able to reject out-of-band frequency components in the spike domain. First one is based on the use of previously designed ...
Ponencia
Live demonstration — Multilayer spiking neural network for audio samples classification using SpiNNaker
(IEEE Computer Society, 2017)
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 ...
Ponencia
Live Demonstration: Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform
(IEEE Computer Society, 2018)
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 ...