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Ponencia
Live Demonstration: Neuromorphic Row-by-Row Multi-convolution FPGA Processor-SpiNNaker architecture for Dynamic-Vision Feature Extraction
(IEEE Computer Society, 2019)
In this demonstration a spiking neural network architecture for vision recognition using an FPGA spiking convolution processor, based on leaky integrate and fire neurons (LIF) and a SpiNNaker board is presented. The ...
Artículo
Approaching Retinal Ganglion Cell Modeling and FPGA Implementation for Robotics
(MDPI, 2018)
Taking inspiration from biology to solve engineering problems using the organizing principles of biological neural computation is the aim of the field of neuromorphic engineering. This field has demonstrated success in ...
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 ...
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 ...
Artículo
Interfacing PDM MEMS Microphones with PFM Spiking Systems: Application for Neuromorphic Auditory Sensors
(Springer, 2022)
Neuromorphic computation processes sensors output in the spiking domain, which presents constraints in many cases when converting information to spikes, loosing, as example, temporal accuracy. This paper presents a spike-based ...
Ponencia
Spiking row-by-row FPGA Multi-kernel and Multi-layer Convolution Processor.
(IEEE Computer Society, 2019)
Spiking convolutional neural networks have become a novel approach for machine vision tasks, due to the latency to process an input stimulus from a scene, and the low power consumption of these kind of solutions. ...
Ponencia
An AER to CAN Bridge for Spike-Based Robot Control
(Springer, 2011)
Address-Event-Representation (AER) is a bio-inspired communication protocol between chips. A set of AER sensors (retina and cochleas), processors (convolvers, WTA, mappers, …) and actuators can be found in the literature ...
Artículo
A spiking neural network for real-time Spanish vowel phonemes recognition
(Elsevier, 2017)
This paper explores neuromorphic approach capabilities applied to real-time speech processing. A spiking recognition neural network composed of three types of neurons is proposed. These neurons are based on an integrative ...
Ponencia
An Approach to Distance Estimation with Stereo Vision Using Address-Event-Representation
(Springer, 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
Stereo Matching in Address-Event-Representation (AER) Bio-Inspired Binocular Systems in a Field-Programmable Gate Array (FPGA)
(MDPI, 2019)
In stereo-vision processing, the image-matching step is essential for results, although it involves a very high computational cost. Moreover, the more information is processed, the more time is spent by the matching ...