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Mostrando ítems 31-40 de 109
Ponencia
AER Spiking Neuron Computation on GPUs: The Frame-to-AER Generation
(Springer, 2011)
Neuro-inspired processing tries to imitate the nervous system and may resolve complex problems, such as visual recognition. The spike-based philosophy based on the Address-Event-Representation (AER) is a neuromorphic ...
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. ...
Ponencia
EMG-Controlled Robotic Prosthetic Arm With Neural Network Training
(IARIA XPS Press, 2020-03-22)
The project consists of the creation of a roboticarm controlled remotely through a brace developed by ThalmicLabs, able to read the limb muscles’ biopotentials. This projectaims to create an economic alternative to ...
Artículo
pyNAVIS: An open-source cross-platform software for spike-based neuromorphic audio information processing
(Elsevier, 2021)
Visualizing the output from event-based sensors and analyzing the information within it is crucial when developing new neuromorphic systems. A novel open-source, cross-platform Python package called pyNAVIS is proposed, ...
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
Performance study of synthetic AER generation on CPUs for Real-Time Video based on Spikes
(ACM Digital Library, 2009-07)
Address-Event-Representation (AER) is a neuromorphic interchip communication protocol that allows for real-time virtual massive connectivity between huge number neurons located on different chips. When building multi-chip ...
Tesis Doctoral
Estudio e integración en sistemas empotrados de algoritmos de Aprendizaje Supervisado basados en Redes Neuronales Artificiales para el análisis de perturbaciones y eventos asociados a la marcha
(2020-11-13)
En este trabajo se contribuye al avance en el análisis de aspectos asociados a la marcha para la identificación de anomalías en la misma y de eventos de peligro, mediante el uso de algoritmos de Aprendizaje Supervisado ...
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 ...