Buscar
Mostrando ítems 21-30 de 116
Ponencia
Case study: Bio-inspired self-adaptive strategy for spike-based PID controller
(IEEE Computer Society, 2015)
A key requirement for modern large scale neuromorphic systems is the ability to detect and diagnose faults and to explore self-correction strategies. In particular, to perform this under area-constraints which meet ...
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 ...
Ponencia
Deep Spiking Neural Network model for time-variant signals classification: a real-time speech recognition approach
(IEEE Computer Society, 2018)
Speech recognition has become an important task to improve the human-machine interface. Taking into account the limitations of current automatic speech recognition systems, like non-real time cloud-based solutions or ...
Ponencia
Práctica de desarrollo de interfaces hardware/software para la monitorización del estado de un PC
(AENUI: Asociación de Enseñantes Universitarios de Informática, 2016)
Este artículo presenta una práctica laboratorio impartida mediante una metodología de aprendizaje basado en proyectos (ABP) [1] para dotar de la capacidad de diseñar y desarrollar un monitor del estado de un ordenador, ...
Ponencia
Synthetic retina for AER systems development
(IEEE Computer Society, 2009)
Neuromorphic engineering tries to mimic biology in information processing. Address-Event Representation (AER) is a neuromorphic communication protocol for spiking neurons between different layers. AER bio-inspired image ...
Ponencia
Spike Processing on an Embedded Multi-task Computer: Image Reconstruction
(IEEE Computer Society, 2007)
There is an emerging philosophy, called Neuro-informatics, contained in the Artificial Intelligence field, that aims to emulate how living beings do tasks such as taking a decision based on the interpretation of an image ...
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 ...
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 ...
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. ...
Ponencia
Image matching algorithms in stereo vision using address-event- representation: a theoretical study and evaluation of the different algorithms
(SciTePress, 2011)
Image processing in digital computer systems usually considers the visual information as a sequence of frames. These frames are from cameras that capture reality for a short period of time. They are renewed and transmitted ...