Brain-Inspired Learning on Neuromorphic Substrates von Zenke, Friedemann, Neftci, Emre O.

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Synaptic Plasticity Dynamics for Deep Continuous Local Learning (DECOLLE) von Kaiser, Jacques, Mostafa, Hesham, Neftci, Emre

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Visualizing a joint future of neuroscience and neuromorphic engineering von Zenke, Friedemann, Bohté, Sander M, Clopath, Claudia, Comşa, Iulia M, Göltz, Julian, Maass, Wolfgang, Masquelier, Timothée, Naud, Richard, Neftci, Emre O, Petrovici, Mihai A, Scherr, Franz, Goodman, Dan F M

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Training Spiking Neural Networks Using Lessons From Deep Learning von Eshraghian, Jason K., Ward, Max, Neftci, Emre O., Wang, Xinxin, Lenz, Gregor, Dwivedi, Girish, Bennamoun, Mohammed, Jeong, Doo Seok, Lu, Wei D.

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Neural sampling machine with stochastic synapse allows brain-like learning and inference von Dutta, Sourav, Detorakis, Georgios, Khanna, Abhishek, Grisafe, Benjamin, Neftci, Emre, Datta, Suman

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Reinforcement learning in artificial and biological systems von Neftci, Emre O., Averbeck, Bruno B.

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Building and benchmarking the motivated deception corpus: Improving the quality of deceptive text through gaming von Barsever, Dan, Steyvers, Mark, Neftci, Emre

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Data and Power Efficient Intelligence with Neuromorphic Learning Machines von Neftci, Emre O.

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Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines von Neftci, Emre O, Pedroni, Bruno U, Joshi, Siddharth, Al-Shedivat, Maruan, Cauwenberghs, Gert

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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, 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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Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines von Neftci, Emre O, Augustine, Charles, Paul, Somnath, Detorakis, Georgios

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Learning of Chunking Sequences in Cognition and Behavior von Fonollosa, Jordi, Neftci, Emre, Rabinovich, Mikhail

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Synthesizing cognition in neuromorphic electronic systems von Neftci, Emre, Binas, Jonathan, Rutishauser, Ueli, Chicca, Elisabetta, Indiveri, Giacomo, Douglas, Rodney J

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Meta-learning spiking neural networks with surrogate gradient descent von Stewart, Kenneth M, Neftci, Emre O

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HyperSpikeASIC : Accelerating Event-Based Workloads With HyperDimensional Computing and Spiking Neural Networks von Zhang, Tianqi, Morris, Justing, Stewart, Kenneth, Lui, Hin Wai, Khaleghi, Behnam, Thomas, Anthony, Goncalves-Marback, Thiago, Aksanli, Baris, Neftci, Emre O., Rosing, Tajana

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Editorial: Neuro-inspired computing for next-gen AI: Computing model, architectures and learning algorithms von Pantazi, Angeliki, Rajendran, Bipin, Simeone, Osvaldo, Neftci, Emre

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A 22-pJ/spike 73-Mspikes/s 130k-compartment neural array transceiver with conductance-based synaptic and membrane dynamics von Park, Jongkil, Ha, Sohmyung, Yu, Theodore, Neftci, Emre, Cauwenberghs, Gert

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On-Chip Error-Triggered Learning of Multi-Layer Memristive Spiking Neural Networks von Payvand, Melika, Fouda, Mohammed E., Kurdahi, Fadi, Eltawil, Ahmed M., Neftci, Emre O.

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Editorial: Focus issue on machine learning for neuromorphic engineering von Payvand, Melika, Neftci, Emre, Zenke, Friedemann

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Memory-Efficient Synaptic Connectivity for Spike-Timing- Dependent Plasticity von Pedroni, Bruno U, Joshi, Siddharth, Deiss, Stephen R, Sheik, Sadique, Detorakis, Georgios, Paul, Somnath, Augustine, Charles, Neftci, Emre O, Cauwenberghs, Gert

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