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Mostrando ítems 1-10 de 61
Artículo
Deep Neural Networks for the Recognition and Classification of Heart Murmurs Using Neuromorphic Auditory Sensors
(IEEE Computer Society, 2017)
Auscultation is one of the most used techniques for detecting cardiovascular diseases, which is one of the main causes of death in the world. Heart murmurs are the most common abnormal finding when a patient visits the ...
Ponencia
Building Blocks for Spikes Signals Processing
(IEEE Computer Society, 2010)
Neuromorphic engineers study models and implementations of systems that mimic neurons behavior in the brain. Neuro-inspired systems commonly use spikes to represent information. This representation has several advantages: ...
Ponencia
On the AER Convolution Processors for FPGA
(IEEE Computer Society, 2010)
Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application. In these ...
Ponencia
An AER handshake-less modular infrastructure PCB with x8 2.5Gbps LVDS serial links
(IEEE Computer Society, 2014)
Nowadays spike-based brain processing emulation is taking off. Several EU and others worldwide projects are demonstrating this, like SpiNNaker, BrainScaleS, FACETS, or NeuroGrid. The larger the brain process emulation ...
Ponencia
FPGA Implementations Comparison of Neuro-cortical Inspired Convolution Processors for Spiking Systems
(Springer, 2009)
Image convolution operations in digital computer systems are usually very expensive operations in terms of resource consumption (processor resources and processing time) for an efficient Real-Time application. In ...
Ponencia
Spike-based building blocks for performing logic operations using Spiking Neural Networks on SpiNNaker
(IEEE Computer Society, 2022)
One of the most interesting and still growing sci entific fields is neuromorphic engineering, which is focused on studying and designing hardware and software with the purpose of mimicking the basic principles of biological ...
Ponencia
AER and dynamic systems co-simulation over Simulink with Xilinx System Generator
(IEEE Computer Society, 2008)
Address-Event Representation (AER) is a neuromorphic communication protocol for transferring information of spiking neurons implemented into VLSI chips. These neuro-inspired implementations have been used to design sensor ...
Artículo
Bio-Inspired Stereo Vision Calibration for Dynamic Vision Sensors
(IEEE Computer Society, 2019)
Many advances have been made in the eld of computer vision. Several recent research trends have focused on mimicking human vision by using a stereo vision system. In multi-camera systems, a calibration process is usually ...
Tesis Doctoral
Una aportación a los sistemas de procesamiento de la información basados en modelos neuronales pulsantes
(2015-07-17)
En este trabajo se propone e implementa un nuevo sistema de reconocimiento de sonidos basado en una cóclea artificial pulsante innovadora. Inicialmente se estudian los mecanismos clásicos de procesamiento de audio para ...
Ponencia
Control neuromórfico del brazo robótico BIOROB del Citec de la Universidad de Bielefeld
(3 ciencias. Área de Innovación y Desarrollo,S.L, 2019)
Los sistemas neuronales biológicos responden a estímulos de una forma rápida y eficiente en el movimiento motor del cuerpo, comparado con los sistemas robóticos clásicos, los cuales requieren una capacidad de computación ...