Bernabe Linares-Barranco

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"Bernabe Linares-Barranco"
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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
Yousefzadeh A, Orchard G, Serrano-Gotarredona T, et al. (2018) Active Perception With Dynamic Vision Sensors. Minimum Saccades With Optimum Recognition. Ieee Transactions On Biomedical Circuits and Systems
Camuñas-Mesa LA, Domínguez-Cordero YL, Linares-Barranco A, et al. (2018) A Configurable Event-Driven Convolutional Node with Rate Saturation Mechanism for Modular ConvNet Systems Implementation. Frontiers in Neuroscience. 12: 63
Camunas-Mesa LA, Serrano-Gotarredona T, Ieng SH, et al. (2017) Event-Driven Stereo Visual Tracking Algorithm to Solve Object Occlusion. Ieee Transactions On Neural Networks and Learning Systems
Yousefzadeh A, Jablonski M, Iakymchuk T, et al. (2017) On Multiple AER Handshaking Channels Over High-Speed Bit-Serial Bidirectional LVDS Links With Flow-Control and Clock-Correction on Commercial FPGAs for Scalable Neuromorphic Systems. Ieee Transactions On Biomedical Circuits and Systems. 11: 1133-1147
Stromatias E, Soto M, Serrano-Gotarredona T, et al. (2017) An Event-Driven Classifier for Spiking Neural Networks Fed with Synthetic or Dynamic Vision Sensor Data. Frontiers in Neuroscience. 11: 350
Serrano-Gotarredona T, Linares-Barranco B. (2015) Poker-DVS and MNIST-DVS. Their History, How They Were Made, and Other Details. Frontiers in Neuroscience. 9: 481
Guo X, Merrikh-Bayat F, Gao L, et al. (2015) Modeling and Experimental Demonstration of a Hopfield Network Analog-to-Digital Converter with Hybrid CMOS/Memristor Circuits. Frontiers in Neuroscience. 9: 488
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