Bernabe Linares-Barranco

"Bernabe Linares-Barranco"
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Gruel A, Hareb D, Grimaldi A, et al. (2023) Stakes of neuromorphic foveation: a promising future for embedded event cameras. Biological Cybernetics. 117: 389-406
Ahmadi-Farsani J, Ricci S, Hashemkhani S, et al. (2022) A CMOS-memristor hybrid system for implementing stochastic binary spike timing-dependent plasticity. Philosophical Transactions. Series a, Mathematical, Physical, and Engineering Sciences. 380: 20210018
Patiño-Saucedo A, Rostro-González H, Serrano-Gotarredona T, et al. (2022) Liquid State Machine on SpiNNaker for Spatio-Temporal Classification Tasks. Frontiers in Neuroscience. 16: 819063
Shamsi J, Avedillo MJ, Linares-Barranco B, et al. (2021) Hardware Implementation of Differential Oscillatory Neural Networks Using VO -Based Oscillators and Memristor-Bridge Circuits. Frontiers in Neuroscience. 15: 674567
Ahmadi-Farsani J, Zuniga-Gonzalez V, Serrano-Gotarredona T, et al. (2020) Enhanced Linearity in FD-SOI CMOS Body-Input Analog Circuits – Application to Voltage-Controlled Ring Oscillators and Frequency-Based ΣΔ ADCs Ieee Transactions On Circuits and Systems I: Regular Papers. 67: 3297-3308
Iranmehr E, Shouraki SB, Faraji MM, et al. (2019) Bio-Inspired Evolutionary Model of Spiking Neural Networks in Ionic Liquid Space. Frontiers in Neuroscience. 13: 1085
Faramarzi F, Azad F, Amiri M, et al. (2019) A Neuromorphic Digital Circuit for Neuronal Information Encoding Using Astrocytic Calcium Oscillations. Frontiers in Neuroscience. 13: 998
Patiño-Saucedo A, Rostro-Gonzalez H, Serrano-Gotarredona T, et al. (2019) Event-driven implementation of deep spiking convolutional neural networks for supervised classification using the SpiNNaker neuromorphic platform. Neural Networks : the Official Journal of the International Neural Network Society. 121: 319-328
Camuñas-Mesa LA, Linares-Barranco B, Serrano-Gotarredona T. (2019) Neuromorphic Spiking Neural Networks and Their Memristor-CMOS Hardware Implementations. Materials (Basel, Switzerland). 12
Yousefzadeh A, Stromatias E, Soto M, et al. (2018) On Practical Issues for Stochastic STDP Hardware With 1-bit Synaptic Weights. Frontiers in Neuroscience. 12: 665
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