Operational transconductance amplifier-based nonlinear function syntheses by Sanchez-Sinencio, E., Ramirez-Angulo, J., Linares-Barranco, B., Rodriguez-Vazquez, A.

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2022 Roadmap on Neuromorphic Computing and Engineering by Christensen, Dennis V, Dittmann, Regina, Linares-Barranco, Bernabé, Abu, Sebastian, Manuel Le Gallo, Redaelli, Andrea, Slesazeck, Stefan, Mikolajick, Thomas, Spiga, Sabina, Menzel, Stephan, Valov, Ilia, Milano, Gianluca, Ricciardi, Carlo, Shi-Jun, Liang, Miao, Feng, Lanza, Mario, Quill, Tyler J, Keene, Scott T, Salleo, Alberto, Grollier, Julie, Marković, Danijela, Mizrahi, Alice, Yao, Peng, Yang, J Joshua, Indiveri, Giacomo, Strachan, John Paul, Datta, Suman, Vianello, Elisa, Valentian, Alexandre, Feldmann, Johannes, Li, Xuan, Pernice, Wolfram H P, Bhaskaran, Harish, Furber, Steve, Neftci, Emre, Scherr, Franz, Maass, Wolfgang, Ramaswamy, Srikanth, Tapson, Jonathan, Panda, Priyadarshini, Kim, Youngeun, Tanaka, Gouhei, Thorpe, Simon, Bartolozzi, Chiara, Cleland, Thomas A, Posch, Christoph, Liu, Shih-Chii, Panuccio, Gabriella, Mufti Mahmud, Mazumder, Arnab Neelim, Hosseini, Morteza, Mohsenin, Tinoosh, Donati, Elisa, Tolu, Silvia, Galeazzi, Roberto, Martin Ejsing Christensen, Holm, Sune, Ielmini, Daniele, Pryds, N

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A modular current-mode high-precision winner-take-all circuit by Serrano, T., Linares-Barranco, B.

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Very wide range tunable CMOS/bipolar current mirrors with voltage clamped input by Serrano-Gotarredona, T., Linares-Barranco, B., Andreou, A.G.

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A CMOS analog adaptive BAM with on-chip learning and weight refreshing by Linares-Barranco, B., Sanchez-Sinencio, E., Rodriguez-Vazquez, A., Huertas, J.L.

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A Proposal for Hybrid Memristor-CMOS Spiking Neuromorphic Learning Systems by Serrano-Gotarredona, T., Prodromakis, T., Linares-Barranco, B.

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A new strong inversion 5-parameter transistor mismatch model by Serrano-Gotarredona, T., Linares-Barranco, B.

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A CMOS Implementation of Fitzhugh-Nagumo Neuron Model by Linares-Barranco, Bernabe, Sanchez-Sinencio, Edgar, Rodriguez-Vazquez, Angel, Huertas, J. L.

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CAVIAR: A 45k Neuron, 5M Synapse, 12G . Connects/s AER Hardware Sensory-Processing-Learning-Actuating Visual Object Recognition and Tracking by SERRANO-GOTARREDONA, Rafael, OSTER, Matthias, LIU, Shih-Chii, DOUGLAS, Rodney, HÄFLIGER, Philipp, JIMENEZ-MORENO, Gabriel, CIVIT BALLCELS, Anton, SERRANO-GOTARREDONA, Teresa, ACOSTA-JIMENEZ, Antonio J, LINARES-BARRANCO, Bernabé, LICHTSTEINER, Patrick, LINARES-BARRANCO, Alejandro, PAZ-VICENTE, Rafael, GOMEZ- RODRIGUEZ, Francisco, CAMUNAS-MESA, Luis, BERNER, Raphael, RIVAS-PEREZ, Manuel, DELBRÜCK, Tobi

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An ART1 microchip and its use in multi-ART1 systems by Serrano-Gotarrdeona, T., Linares-Barranco, B.

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On the design of voltage-controlled sinusoidal oscillators using OTAs by Rodriguez-Vazquez, A., Linares-Barranco, B., Huertas, J.L., Sanchez-Sinencio, E.

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Circuits and algorithms for adaptive neuro-fuzzy analog chips by Vidal-Verdu, F., Rodriguez-Vazquez, A., Linares-Barranco, B.

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Modular T-mode neural network learning hardware implementations with analog storage capability by Linares-Barranco, B., Sanchez-Sinencio, E., Rodriguez-Vazquez, A., Huertas, J.L.

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A programmable neural oscillator cell by Linares-Barranco, B., Sanchez-Sinencio, E., Rodriguez-Vazquez, A., Huertas, J.L.

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