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Mostrando ítems 41-50 de 181
Ponencia
Implementation of a time-warping AER mapper
(IEEE Computer Society, 2009)
In recent implementations of neuromorphic spikebased sensors, multi-neuron processors, and actuators; the spike traffic between devices is coded in the form of asynchronous spike streams following the Address-Event-Re ...
Ponencia
Nexus, una herramienta de teleformación orientada a discapacitados
(Dirección General de la AUIP, 2002)
Ponencia
An Approach to Motor Control for Spike-based Neuromorphic Robotics
(IEEE Computer Society, 2014)
This paper presents an approach to open-loop motor control using Integrate and Fire (IF) neurons. The controller aims at mimicking motor control structures found in the brain and consists of three neuron populations ...
Ponencia
Towards bioinspired close-loop local motor control: a simulated approach supporting neuromorphic implementations
(IEEE Computer Society, 2017)
Despite being well established in robotics, classical motor controllers have several disadvantages: they pose a high computational load, therefore requiring powerful devices, they are not easy to tune and they are not ...
Tesis Doctoral
Deep Learning-based Computer-Aided Diagnosis systems: a contribution to prostate cancer detection in histopathological images
(2021-07-20)
In this work, novel computer-aided diagnosis systems for medical image analysis focusing on prostate cancer are proposed and implemented. First, the histopathology of prostate cancer was studied, along with the Gleason ...
Ponencia
Neuro-inspired system for real-time vision sensor tilt correction
(IEEE Computer Society, 2010)
Neuromorphic engineering tries to mimic biological information processing. Address-Event-Representation (AER) is an asynchronous protocol for transferring the information of spiking neuro-inspired systems. Currently AER ...
Tesis Doctoral
Ponencia
Real-time motor rotation frequency detection with event-based visual and spike-based auditory AER sensory integration for FPGA
(IEEE Computer Society, 2015)
Multisensory integration is commonly used in various robotic areas to collect more environmental information using different and complementary types of sensors. Neuromorphic engineers mimics biological systems behavior ...
Ponencia
Retinal ganglion cell software and FPGA model implementation for object detection and tracking
(IEEE Computer Society, 2016)
This paper describes the software and FPGA implementation of a Retinal Ganglion Cell model which detects moving objects. It is shown how this processing, in conjunction with a Dynamic Vision Sensor as its input, can be ...
Tesis Doctoral
Neuromorphic deep convolutional neural network learning systems for FPGA in real time
(2019-12-13)
Deep Learning algorithms have become one of the best approaches for pattern recognition in several fields, including computer vision, speech recognition, natural language processing, and audio recognition, among others. ...