World's Best Scientists 2026 revealed!
Bernabé Linares-Barranco

Bernabé Linares-Barranco

Award Badge
Computer Science
Spain
2025

D-Index & Metrics

Computer Science

D-Index
56
Citations
14442
World Ranking
4025
National Ranking
53

Electronics and Electrical Engineering

D-Index
57
Citations
14917
World Ranking
1944
National Ranking
18

Research.com Recognitions

  • 2025 - Research.com Computer Science in Spain Leader Award
  • 2022 - Research.com Computer Science in Spain Leader Award

Overview

Bernabé Linares-Barranco is affiliated with the University of Seville in Spain. Their research spans several interdisciplinary fields including engineering, neuroscience, and computer science, with a strong focus on electrical and electronic engineering and artificial intelligence.

The main areas of study for Bernabé Linares-Barranco encompass:

  • Engineering
  • Neuroscience
  • Computer Science

Within these broad fields, their work delves into subfields such as:

  • Electrical and Electronic Engineering
  • Artificial Intelligence
  • Cognitive Neuroscience
  • Cellular and Molecular Neuroscience
  • Computer Networks and Communications

Their research topics reflect a focus on neural computation and brain-inspired engineering, including:

  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing
  • Neural dynamics and brain function
  • Neuroscience and Neural Engineering
  • Ferroelectric and Negative Capacitance Devices
  • CCD and CMOS Imaging Sensors
  • EEG and Brain-Computer Interfaces

Bernabé Linares-Barranco has contributed scholarly works to multiple publication venues, with frequent appearances in:

  • Frontiers in Neuroscience
  • arXiv (Cornell University)
  • IEEE Access
  • IEEE Transactions on Neural Networks and Learning Systems
  • Neuromorphic Computing and Engineering

Significant publications authored or coauthored by Bernabé Linares-Barranco include:

  • "Embedded Devices for Neuromorphic Time-Series Assessment," 2022, Maryland Shared Open Access Repository (USMAI Consortium)
  • "Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications," 2020, Repository for Publications and Research Data (ETH Zurich)
  • "Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing," 2021, IEEE Transactions on Neural Networks and Learning Systems
  • "Efficient Spike-Driven Learning With Dendritic Event-Based Processing," 2021, Frontiers in Neuroscience
  • "Heterogeneous Ensemble-Based Spike-Driven Few-Shot Online Learning," 2022, Frontiers in Neuroscience

The scientist frequently collaborates with several coauthors, including:

  • Teresa Serrano-Gotarredona
  • M.J. Avedillo
  • Elisa Vianello
  • Manuel Jiménez
  • Juan Núñez

Best Publications

  • Neuromorphic Silicon Neuron Circuits

    Giacomo Indiveri;Bernabé Linares-Barranco;Tara Julia Hamilton;André van Schaik

  • Integration of nanoscale memristor synapses in neuromorphic computing architectures

    Giacomo Indiveri;Bernabé Linares-Barranco;Robert A. Legenstein;George Deligeorgis

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

    Carlos Zamarreño-Ramos;Luis A. Camuñas-Mesa;Jose A. Pérez-Carrasco;Timothée Masquelier

  • STDP and STDP variations with memristors for spiking neuromorphic learning systems.

    Teresa Serrano-Gotarredona;Timothée Masquelier;Themistoklis Prodromakis;Giacomo Indiveri

  • Retinomorphic event-based vision sensors: Bioinspired cameras with spiking output

    Christoph Posch;Teresa Serrano-Gotarredona;Bernabe Linares-Barranco;Tobi Delbruck

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

    R. Serrano-Gotarredona;M. Oster;P. Lichtsteiner;A. Linares-Barranco

  • Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications

    Mostafa Rahimi Azghadi;Corey Lammie;Jason K. Eshraghian;Melika Payvand

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

    J. A. Perez-Carrasco;Bo Zhao;C. Serrano;B. Acha

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

    Bernabé Linares-Barranco;Teresa Serrano-Gotarredona

  • Activity-driven, event-based vision sensors

    Tobi Delbruck;Bernabe Linares-Barranco;Eugenio Culurciello;Christoph Posch

  • Plasticity in memristive devices for spiking neural networks

    Sylvain Saïghi;Christian G. Mayr;Teresa Serrano-Gotarredona;Heidemarie Schmidt

  • A memristive nanoparticle/organic hybrid synapstor for neuro-inspired computing

    F. Alibart;S. Pleutin;O. Bichler;C. Gamrat

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

    Bo Zhao;Ruoxi Ding;Shoushun Chen;Bernabe Linares-Barranco

  • On the design and characterization of femtoampere current-mode circuits

    B. Linares-Barranco;T. Serrano-Gotarredona

  • A Memristive Nanoparticle/Organic Hybrid Synapstor for Neuroinspired Computing

    Fabien Alibart;Stéphane Pleutin;Olivier Bichler;Christian Gamrat

  • A CMOS implementation of FitzHugh-Nagumo neuron model

    B. Linares-Barranco;E. Sanchez-Sinencio;A. Rodriguez-Vazquez;J.L. Huertas

  • Operational transconductance amplifier-based nonlinear function syntheses

    E. Sanchez-Sinencio;J. Ramirez-Angulo;B. Linares-Barranco;A. Rodriguez-Vazquez

  • Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details

    Teresa Serrano-Gotarredona;Bernabé Linares-Barranco

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

    J A Leñero-Bardallo;T Serrano-Gotarredona;B Linares-Barranco

  • On the design of voltage-controlled sinusoidal oscillators using OTAs

    A. Rodriguez-Vazquez;B. Linares-Barranco;J.L. Huertas;E. Sanchez-Sinencio

Frequent Co-Authors

Teresa Serrano-Gotarredona
Teresa Serrano-Gotarredona University of Seville
Edgar Sanchez-Sinencio
Edgar Sanchez-Sinencio Texas A&M University
Ángel Rodríguez-Vázquez
Ángel Rodríguez-Vázquez University of Seville
Andreas G. Andreou
Andreas G. Andreou Johns Hopkins University
José L. Huertas
José L. Huertas Spanish National Research Council
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Themistoklis Prodromakis
Themistoklis Prodromakis University of Southampton
Steve Furber
Steve Furber University of Manchester
Tobi Delbruck
Tobi Delbruck ETH Zurich
Jaime Ramirez-Angulo
Jaime Ramirez-Angulo New Mexico State University

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

For those interested in Electronics and Electrical Engineering, exploring flexible online options can be crucial. Many students benefit from competency based universities, which allow learners to progress at their own pace by demonstrating mastery of key skills. This approach can save time and better align education with career goals.

Military spouses often face unique challenges when pursuing higher education. Finding the best online college for military spouses ensures access to tailored support, flexible schedules, and financial aid options designed for their circumstances.

If you’re looking to start quickly, many online colleges starting soon offer rolling admissions and multiple start dates throughout the year. This makes it easier to begin courses without waiting for traditional semester cycles.

For focused skill-building, consider certificate programs that pay well. These short-term credentials can boost employability and income potential, especially in specialized technical roles within the electronics and electrical engineering fields.

Best Scientists Citing Bernabé Linares-Barranco

Trending Scientists