Bernabé Linares-Barranco

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

Rafael Serrano-Gotarredona, Matthias Oster, +15 authors Bernabé Linares-Barranco
IEEE Transactions on Neural Networks
2009

This paper describes CAVIAR, a massively parallel hardware implementation of a spike-based sensing-processing-learning-actuating system inspired by the physiology of the nervous system. CAVIAR uses… (More)

A 128$\,\times$ 128 1.5% Contrast Sensitivity 0.9% FPN 3 µs Latency 4 mW Asynchronous Frame-Free Dynamic Vision Sensor Using Transimpedance Preamplifiers

Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
IEEE Journal of Solid-State Circuits
2013

Dynamic Vision Sensors (DVS) have recently appeared as a new paradigm for vision sensing and processing. They feature unique characteristics such as contrast coding under wide illumination variation,… (More)

Neuromorphic Silicon Neuron Circuits

Giacomo Indiveri, Bernabé Linares-Barranco, +17 authors Kwabena Boahen
Front. Neurosci
2011

Hardware implementations of spiking neurons can be extremely useful for a large variety of applications, ranging from high-speed modeling of large-scale neural systems to real-time behaving systems,… (More)

On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex

Carlos Zamarreño-Ramos, Luis A. Camuñas-Mesa, José Antonio Pérez-Carrasco, Timothée Masquelier, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
Front. Neurosci.
2011

In this paper we present a very exciting overlap between emergent nanotechnology and neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are linking one type of… (More)

Memristance can explain Spike-Time-Dependent-Plasticity in Neural Synapses

Interdisciplinary research broadens the view of particular problems yielding fresh and possibly unexpected insights. This is the case of neuromorphic engineering where technology and neuroscience… (More)

Mapping from Frame-Driven to Frame-Free Event-Driven Vision Systems by Low-Rate Rate Coding and Coincidence Processing--Application to Feedforward ConvNets

José Antonio Pérez-Carrasco, Bo Zhao, +4 authors Bernabé Linares-Barranco
IEEE Transactions on Pattern Analysis and Machine…
2013

Event-driven visual sensors have attracted interest from a number of different research communities. They provide visual information in quite a different way from conventional video systems… (More)

A 3.6 $\mu$ s Latency Asynchronous Frame-Free Event-Driven Dynamic-Vision-Sensor

Juan Antonio Leñero-Bardallo, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco
IEEE Journal of Solid-State Circuits
2011

This paper presents a 128 × 128 dynamic vision sensor. Each pixel detects temporal changes in the local illumination. A minimum illumination temporal contrast of 10% can be detected. A compact… (More)

A Neuromorphic Cortical-Layer Microchip for Spike-Based Event Processing Vision Systems

Rafael Serrano-Gotarredona, Teresa Serrano-Gotarredona, Antonio Acosta-Jimenez, Bernabé Linares-Barranco
IEEE Transactions on Circuits and Systems I…
2006

We present a neuromorphic cortical-layer processing microchip for address event representation (AER) spike-based processing systems. The microchip computes 2-D convolutions of video information… (More)

Feedforward Categorization on AER Motion Events Using Cortex-Like Features in a Spiking Neural Network

Bo Zhao, Ruoxi Ding, Shoushun Chen, Bernabé Linares-Barranco, Huajin Tang
IEEE Transactions on Neural Networks and Learning…
2015

This paper introduces an event-driven feedforward categorization system, which takes data from a temporal contrast address event representation (AER) sensor. The proposed system extracts bio-inspired… (More)

A Spatial Contrast Retina With On-Chip Calibration for Neuromorphic Spike-Based AER Vision Systems

Jesús Costas-Santos, Teresa Serrano-Gotarredona, Rafael Serrano-Gotarredona, Bernabé Linares-Barranco
IEEE Transactions on Circuits and Systems I…
2007

We present a 32 times 32 pixels contrast retina microchip that provides its output as an address event representation (AER) stream. Spatial contrast is computed as the ratio between pixel… (More)

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