R. Paz-Vicente

发表

CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

Tobi Delbrück, Bernabé Linares-Barranco, Philipp Häfliger, 2009, IEEE Transactions on Neural Networks.

Real-time neuro-inspired sound source localization and tracking architecture applied to a robotic platform

Angel Jiménez-Fernandez, Elena Cerezuela-Escudero, Rafael Paz-Vicente, 2017, Neurocomputing.

Simulating Building Blocks for Spikes Signals Processing

M. Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco, 2011, IWANN.

On the AER convolution processors for FPGA

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Manuel Rivas Pérez, 2010, Proceedings of 2010 IEEE International Symposium on Circuits and Systems.

Sound Recognition System Using Spiking and MLP Neural Networks

Juan Pedro Dominguez-Morales, M. Domínguez-Morales, Angel Jiménez-Fernandez, 2016, ICANN.

Test Infrastructure for Address-Event-Representation Communications

Alejandro Linares-Barranco, Antonio Abad Civit Balcells, Rafael Paz-Vicente, 2005, IWANN.

AER Building Blocks for Multi-Layer Multi-Chip Neuromorphic Vision Systems

Tobi Delbrück, Bernabé Linares-Barranco, Philipp Häfliger, 2005, NIPS.

Stereo Matching: From the Basis to Neuromorphic Engineering

Alejandro Linares-Barranco, Gabriel Jimenez-Moreno, R. Paz-Vicente, 2012 .

A Neuro-Inspired Spike-Based PID Motor Controller for Multi-Motor Robots with Low Cost FPGAs

M. Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco, 2012, Sensors.

An AER to CAN Bridge for Spike-Based Robot Control

Juan López Coronado, M. Domínguez-Morales, Angel Jiménez-Fernandez, 2011, IWANN.

FPGA Implementations Comparison of Neuro-cortical Inspired Convolution Processors for Spiking Systems

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Manuel Rivas Pérez, 2009, IWANN.

From Vision Sensor to Actuators, Spike Based Robot Control through Address-Event-Representation

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Antonio Abad Civit Balcells, 2009, IWANN.

AER and dynamic systems co-simulation over Simulink with Xilinx System Generator

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Antonio Abad Civit Balcells, 2008, 2008 15th IEEE International Conference on Electronics, Circuits and Systems.

AER-based robotic closed-loop control system

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Manuel Rivas Pérez, 2008, 2008 IEEE International Symposium on Circuits and Systems.

Image convolution using a probabilistic mapper on USB-AER board

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Antonio Abad Civit Balcells, 2008, 2008 IEEE International Symposium on Circuits and Systems.

An AER-Based Actuator Interface for Controlling an Anthropomorphic Robotic Hand

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Rafael Paz-Vicente, 2007, IWINAC.

LVDS Serial AER Link performance

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Antonio Abad Civit Balcells, 2007, 2007 IEEE International Symposium on Circuits and Systems.

A LVDS Serial AER Link

Angel Jiménez-Fernandez, Alejandro Linares-Barranco, Antonio Abad Civit Balcells, 2006, 2006 13th IEEE International Conference on Electronics, Circuits and Systems.

Tools for Address-Event-Representation Communication Systems and Debugging

Alejandro Linares-Barranco, Manuel Rivas Pérez, Rafael Paz-Vicente, 2005, ICANN.

Two Hardware Implementations of the Exhaustive Synthetic AER Generation Method

Alejandro Linares-Barranco, Antonio Abad Civit Balcells, Rafael Paz-Vicente, 2005, IWANN.

Musical notes classification with neuromorphic auditory system using FPGA and a convolutional spiking network

M. Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco, 2015, 2015 International Joint Conference on Neural Networks (IJCNN).

CAVIAR: A 45k Neuron, 5M Synapse, 12G Connects/s AER Hardware Sensory–Processing– Learning–Actuating System for High-Speed Visual Object Recognition and Tracking

Manuel Rivas Pérez, R. Douglas, Shih-Chii Liu, 2009, IEEE Transactions on Neural Networks.

Caviar: a 45k Neuron, 5m Synapse, 12g Connects/s Aer Hardware Sensory–processing– Learning–actuating System for High-speed Visual Object Recognition and Tracking Abstract—this Paper Describes Caviar, a Massively Par- Allel Hardware Implementation of a Spike-based Sensing–pro- Cessing–learning–actuat

P. Lichtsteiner, T. Delbrück, T. Serrano-Gotarredona, 2008 .

Spikes Monitors for FPGAs, an Experimental Comparative Study

M. Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco, 2013, IWANN.

On the Designing of Spikes Band-Pass Filters for FPGA

M. Domínguez-Morales, Angel Jiménez-Fernandez, Alejandro Linares-Barranco, 2011, ICANN.