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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 ...
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 ...
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
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 ...
Artículo
A Binaural Neuromorphic Auditory Sensor for FPGA: A Spike Signal Processing Approach
(IEEE Computer Society, 2017)
This paper presents a new architecture, design flow, and field-programmable gate array (FPGA) implementation analysis of a neuromorphic binaural auditory sensor, designed completely in the spike domain. Unlike digital ...