Ver Investigador - - Prisma - Unidad de Bibliometría

Luis Alejandro Camuñas Mesa

Profesor Contratado Doctor Interino
lcamunas@us.es
Prog. doctorado: Programa de Doctorado en Ciencias y Tecnologías Físicas (RD. 99/2011)
Tipo Año Título Fuente
Ponencia2023 A multi-core memristor chip for Stochastic Binary STDP Proceedings - IEEE International Symposium on Circuits and Systems
Ponencia2023 Characterization of HfOx 1T1R Memristors for Analog Programming 14th Spanish Conference on Electron Devices, CDE 2023 - Proceedings
Artículo2023 Combining Software-Defined Radio Learning Modules and Neural Networks for Teaching Communication Systems Courses † Information (Switzerland)
Artículo2023 Compact Functional Testing for Neuromorphic Computing Circuits IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
Ponencia2023 Study of foveation mechanisms in Dynamic Vision Sensors 2023 38th Conference on Design of Circuits and Integrated Systems, DCIS 2023
Artículo2023 Using ANNs to predict the evolution of spectrum occupancy in cognitive-radio systems INTEGRATION-THE VLSI JOURNAL
Artículo2022 A CMOL-like memristor-CMOS neuromorphic chip-core demonstrating stochastic binary STDP IEEE JOURNAL ON EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS
Ponencia2022 Graphic user interface for learning communications physics 15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings
Ponencia2022 Learning about nanodevices using experimental characterization equipment 15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings
Ponencia2022 Reliability analysis of a spiking neural network hardware accelerator Proceedings of the 2022 Design, Automation and Test in Europe Conference and Exhibition, DATE 2022
Ponencia2022 Using ANNs to predict frequency spectrum occupancy in cognitive-radio receivers DCIS 2022 - Proceedings of the 37th Conference on Design of Circuits and Integrated Systems
Ponencia2022 Using software-defined radio learning modules for communication systems 15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings
Ponencia2021 Cognitive radio circuits and systems - Application to digitizers Proceedings - IEEE International Symposium on Circuits and Systems
Ponencia2021 Implementation of binary stochastic STDP learning using chalcogenide-based memristive devices Proceedings - IEEE International Symposium on Circuits and Systems
Artículo2021 Neuromorphic low-power inference on memristive crossbars with on-chip offset calibration IEEE ACCESS
Ponencia2021 Neuron fault tolerance in spiking neural networks Proceedings -Design, Automation and Test in Europe, DATE
Ponencia2020 Confession session: Lessons learned the hard way Proceedings - IEEE International Symposium on Circuits and Systems
Ponencia2020 Experimental body-input three-stage DC offset calibration scheme for memristive crossbar Proceedings - IEEE International Symposium on Circuits and Systems
Ponencia2020 Implementation of a tunable spiking neuron for STDP with memristors in FDSOI 28nm Proceedings - 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020
Ponencia2020 Low order wideband multiplierless comb compensator Midwest Symposium on Circuits and Systems Conference Proceedings
Ponencia2020 Spiking neuron hardware-level fault modeling Proceedings - 2020 26th IEEE International Symposium on On-Line Testing and Robust System Design, IOLTS 2020
Ponencia2020 Using neural networks for optimum band selection in cognitive-radio systems ICECS 2020 - 27th IEEE International Conference on Electronics, Circuits and Systems, Proceedings
Ponencia2019 Low-power hardware implementation of SNN with decision block for recognition tasks 2019 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019
Revisión2019 Neuromorphic spiking neural networks and their memristor-CMOS hardware implementations MATERIALS
Ponencia2019 Self-Testing Analog Spiking Neuron Circuit SMACD 2019 - 16th International Conference on Synthesis, Modeling, Analysis and Simulation Methods and Applications to Circuit Design, Proceedings
Artículo2018 A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation FRONTIERS IN NEUROSCIENCE
Ponencia2018 Bulk-based DC offset calibration for low-power memristor array read-out system 2017 32nd Conference on Design of Circuits and Integrated Systems, DCIS 2017 - Proceedings
Artículo2018 Calibration of offset via bulk for low-power HfO2 based 1T1R memristive crossbar read-out system MICROELECTRONIC ENGINEERING
Ponencia2018 Event-Driven Configurable Module with Refractory Mechanism for ConvNets on FPGA Proceedings - IEEE International Symposium on Circuits and Systems
Artículo2018 Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Artículo2016 An Address Event Representation-based Processing System for a Biped Robot INTERNATIONAL JOURNAL OF ADVANCED ROBOTIC SYSTEMS
Ponencia2014 Event-Driven Sensing and Processing for High-Speed Robotic Vision 2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)
Ponencia2014 Event-driven stereo vision with orientation filters 2014 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
Ponencia2014 Live Demonstration: Event-Driven Sensing and Processing for High-Speed Robotic Vision 2014 IEEE BIOMEDICAL CIRCUITS AND SYSTEMS CONFERENCE (BIOCAS)
Artículo2014 On the use of orientation filters for 3D reconstruction in event-driven stereo vision FRONTIERS IN NEUROSCIENCE
Artículo2013 A Detailed and Fast Model of Extracellular Recordings NEURAL COMPUTATION
Artículo2012 An Event-Driven Multi-Kernel Convolution Processor Module for Event-Driven Vision Sensors IEEE JOURNAL OF SOLID-STATE CIRCUITS
Artículo2011 A 32 x 32 Pixel Convolution Processor Chip for Address Event Vision Sensors With 155 ns Event Latency and 20 Meps Throughput IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS
Artículo2011 On spike-timing-dependent-plasticity, memristive devices, and building a self-learning visual cortex FRONTIERS IN NEUROSCIENCE
Artículo2010 Fast Vision Through Frameless Event-Based Sensing and Convolutional Processing: Application to Texture Recognition IEEE TRANSACTIONS ON NEURAL NETWORKS
Ponencia2010 Neocortical Frame-free Vision Sensing and Processing through Scalable Spiking ConvNet Hardware 2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010
Ponencia2010 On Scalable Spiking ConvNet Hardware for Cortex-Like Visual Sensory Processing Systems 2010 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS
Artículo2009 CAVIAR: a 45k neuron, 5M synapse, 12G connects/s AER hardware sensory-processing-learning-actuating system for high-speed visual object recognition and tracking IEEE TRANSACTIONS ON NEURAL NETWORKS
Ponencia2008 Fully digital AER convolution chip for vision processing PROCEEDINGS OF 2008 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, VOLS 1-10
Artículo2007 The stochastic i-pot: A circuit block for programming bias currents IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-ANALOG AND DIGITAL SIGNAL PROCESSING
Ponencia2006 A bio-inspired event-based real-time image processor Proceedings of the First IEEE/RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, 2006, BioRob 2006
Ponencia2005 A digital pixel cell for address event representation image convolution processing BIOENGINEERED AND BIOINSPIRED SYSTEMS II
Ponencia2004 On leakage current temperature characterization using sub-pico-ampere circuit techniques 2004 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS, PROCEEDINGS

Proyectos de Investigación

Fecha de inicio Fecha de fin Rol Denominación Agencia financiadora
01/02/2020 31/01/2022 Responsable Neuro-Radio: Radio cognitiva embebida con aprendizaje neuronal (US-1260118) Junta de Andalucía (Consejería de Economía y Conocimiento) (Autonómico)
01/01/2020 30/06/2023 Investigador/a Two-Dimensional Oscillatory Neural Networks for Energy Efficent Neuromorphic computing (NeurONN) (H2020-871501) Comisión Europea (Europeo)
El investigador no tiene ningún resultado de investigación asociado