2022 roadmap on neuromorphic computing and engineering von Christensen, Dennis V, Dittmann, Regina, Linares-Barranco, Bernabe, Sebastian, Abu, Le Gallo, Manuel, Redaelli, Andrea, Slesazeck, Stefan, Mikolajick, Thomas, Spiga, Sabina, Menzel, Stephan, Valov, Ilia, Milano, Gianluca, Ricciardi, Carlo, Liang, Shi-Jun, 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, ShihChii, Panuccio, Gabriella, Mahmud, Mufti, Mazumder, Arnab Neelim, Hosseini, Morteza, Mohsenin, Tinoosh, Donati, Elisa, Tolu, Silvia, Galeazzi, Roberto, Christensen, Martin Ejsing, Holm, Sune, Ielmini, Daniele, Pryds, N

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An Asynchronous Power Aware and Adaptive NoC Based Circuit von Beigne, E., Clermidy, F., Lhermet, H., Miermont, S., Thonnart, Y., Xuan-Tu Tran, Valentian, A., Varreau, D., Vivet, P., Popon, X., Lebreton, H.

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Automatic Gate Biasing of an SCCMOS Power Switch Achieving Maximum Leakage Reduction and Lowering Leakage Current Variability von Valentian, A., Beigne, E.

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Backpropagation-Based Learning Techniques for Deep Spiking Neural Networks: A Survey von Dampfhoffer, Manon, Mesquida, Thomas, Valentian, Alexandre, Anghel, Lorena

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Spiking Neural Networks Hardware Implementations and Challenges: A Survey von Bouvier, Maxence, Valentian, Alexandre, Mesquida, Thomas, Rummens, Francois, Reyboz, Marina, Vianello, Elisa, Beigne, Edith

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A 50.5 ns Wake-Up-Latency 11.2 pJ/Inst Asynchronous Wake-Up Controller in FDSOI 28 nm von Christmann, Jean-Frédéric, Berthier, Florent, Coriat, David, Miro-Panades, Ivan, Guthmuller, Eric, Thuries, Sébastien, Thonnart, Yvain, Makosiej, Adam, Debicki, Olivier, Heitzmann, Frédéric, Valentian, Alexandre, Vivet, Pascal, Beigné, Edith

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Are SNNs Really More Energy-Efficient Than ANNs? an In-Depth Hardware-Aware Study von Dampfhoffer, Manon, Mesquida, Thomas, Valentian, Alexandre, Anghel, Lorena

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Performance Limits of Nanoelectromechanical Switches (NEMS)-Based Adiabatic Logic Circuits von Houri, Samer, Poulain, Christophe, Valentian, Alexandre, Fanet, Hervé

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Limits of CMOS Technology and Interest of NEMS Relays for Adiabatic Logic Applications von Houri, Samer, Billiot, Gerard, Belleville, Marc, Valentian, Alexandre, Fanet, Herve

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SamurAI: A Versatile IoT Node With Event-Driven Wake-Up and Embedded ML Acceleration von Miro-Panades, Ivan, Tain, Benoit, Christmann, Jean-Frederic, Coriat, David, Lemaire, Romain, Jany, Clement, Martineau, Baudouin, Chaix, Fabrice, Waltener, Guillaume, Pluchart, Emmanuel, Noel, Jean-Philippe, Makosiej, Adam, Montoya, Maxime, Bacles-Min, Simone, Briand, David, Philippe, Jean-Marc, Thonnart, Yvain, Valentian, Alexandre, Heitzmann, Frederic, Clermidy, Fabien

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A 460 MHz at 397 mV, 2.6 GHz at 1.3 V, 32 bits VLIW DSP Embedding F MAX Tracking von Beigne, Edith, Valentian, Alexandre, Miro-Panades, Ivan, Wilson, Robin, Flatresse, Philippe, Abouzeid, Fady, Benoist, Thomas, Bernard, Christian, Bernard, Sebastien, Billoint, Olivier, Clerc, Sylvain, Giraud, Bastien, Grover, Anuj, Le Coz, Julien, Noel, Jean-Philippe, Thomas, Olivier, Thonnart, Yvain

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Investigating Current-Based and Gating Approaches for Accurate and Energy-Efficient Spiking Recurrent Neural Networks von Dampfhoffer, Manon, Mesquida, Thomas, Valentian, Alexandre, Anghel, Lorena

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Designing digital circuits with nano-scale devices: Challenges and opportunities von Belleville, Marc, Thomas, Olivier, Valentian, Alexandre, Clermidy, Fabien

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Automatic Gate Biasing of an SCCMOS Power Switch Achieving Maximum Leakage Reduction and Lowering Leakage Current Variability: The 33rd European Solid-State Circuits Conference (ES... von VALENTIAN, Alexandre, BEIGNE, Edith

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UTBB FDSOI suitability for IoT applications: Investigations at device, design and architectural levels von Berthier, Florent, Beigne, Edith, Heitzmann, Frédéric, Debicki, Olivier, Christmann, Jean-Frédéric, Valentian, Alexandre, Billoint, Olivier, Amat, Esteve, Morche, Dominique, Chairat, Soundous, Sentieys, Olivier

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2022 roadmap on neuromorphic computing and engineering von Christensen, Dennis V, Dittmann, Regina, Linares-Barranco, Bernabe, Sebastian, Abu, Le Gallo, Manuel, Redaelli, Andrea, Slesazeck, Stefan, Mikolajick, Thomas, Spiga, Sabina, Menzel, Stephan, Valov, Ilia, Milano, Gianluca, Ricciardi, Carlo, Liang, Shi-Jun, 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

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Power-Clock Generator Impact on the Performance of NEM-Based Quasi-Adiabatic Logic Circuits von Houri, Samer, Billiot, Gerard, Belleville, Marc, Valentian, Alexandre, Fanet, Herve

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Power Reduction of Asynchronous Logic Circuits Using Activity Detection von Thonnart, Y., Beigne, E., Valentian, A., Vivet, P.

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OBSERVATION SYSTEM AND ASSOCIATED OBSERVATION METHOD von Bouvier, Maxence, Valentian, Alexandre

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Artificial neuron for neuromorphic chip with resistive synapses von Valentian, Alexandre, Rummens, François

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