Journal Articles by E. Neftci


E. O. Neftci, C. Augustine, S. Paul, and G. Detorakis
Event-Driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
Frontiers in Neuroscience, 11, 2017
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G. Detorakis, S. Sheik, C. Augustine, S. Paul, B. U. Pedroni, N. Dutt, J. Krichmar, G. Cauwenberghs, et al.
Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning
arXiv preprint arXiv:1709.10205, 2017
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S. B. Eryilmaz, E. Neftci, S. Joshi, S. Kim, M. BrightSky, H. L. Lung, C. Lam, G. Cauwenberghs, et al.
Training a Probabilistic Graphical Model With Resistive Switching Electronic Synapses
IEEE Transactions on Electron Devices, 63(12), 2016
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E. O. Neftci, B. U. Pedroni, S. Joshi, M. Al-Shedivat, and G. Cauwenberghs
Stochastic Synapses Enable Efficient Brain-Inspired Learning Machines
Frontiers in Neuroscience, 10(241), 2016
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R. Naous, M. AlShedivat, E. Neftci, G. Cauwenberghs, and K. N. Salama
Memristor-based neural networks: Synaptic versus neuronal stochasticity
Aip Advances, 6(11), 2016
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J. Fonollosa, E. Neftci, and M. Rabinovich
Learning of Chunking Sequences in Cognition and Behavior.
PLoS computational biology ((equal contrib. JF, EN)), 11(11), 2015
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F. Stefanini, E. Neftci, S. Sheik, and G. Indiveri
PyNCS: a kernel for high-level configuration and definition of neuromorphic electronic systems
Frontiers in Neuroinformatics ((equal contrib. FS, EN, SS)), 8, 2014
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E. Neftci, S. Das, B. Pedroni, K. Kreutz-Delgado, and G. Cauwenberghs
Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems
Frontiers in Neuroscience, 7(272), 2014
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E. Neftci, J. Binas, U. Rutishauser, E. Chicca, G. Indiveri, and R. J. Douglas
Synthesizing cognition in neuromorphic electronic systems
PNAS, 110(37), 2013
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A. Landsman, E. Neftci, and D. Muir
Noise robustness and spatially patterned synchronization of cortical oscillators
New Journal of Physics ((equal contrib. AL, EN, DM)), 14(12), 2012
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E. Neftci, B. Toth, G. Indiveri, and H. Abarbanel
Dynamic State and Parameter Estimation applied to Neuromorphic Systems
Neural Computation, 24(7), 2012
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E. Neftci, E. Chicca, G. Indiveri, and R. Douglas
A systematic method for configuring VLSI networks of spiking neurons
Neural Computation, 23(10), 2011
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Conference Papers


E. Neftci, C. Augustine, S. Paul, and G. Detorakis
Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
2017 IEEE International Symposium on Circuits and Systems, 2017
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E. Neftci
Stochastic Synapses as Resource for Efficient Deep Learning Machines
2017 IEEE International Electron Devices Meeting (IEDM) ((in press)), 2017
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B. U. Pedroni, S. Sheik, S. Joshi, G. Detorakis, S. Paul, C. Augustine, E. Neftci, and G. Cauwenberghs
Forward Table-Based Presynaptic Event-Triggered Spike-Timing-Dependent Plasticity
2016
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P. U. Diehl, G. Zarrella, A. Cassidy, B. Pedroni, and E. Neftci
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
International Conference on Rebooting Computation (ICRC), 2016 ((accepted at ICRC 2016)), 2016
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A. D. P. U. P. B. U. Cassidy, P. Merolla, E. Neftci, and G. Zarrella
TrueHappiness: Neuromorphic Emotion Recognition on TrueNorth
arXiv:1601.04183, 2016
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S. Sheik, S. Paul, C. Augustine, C. Kothapalli, G. Cauwenberghs, and E. Neftci
Synaptic sampling in hardware spiking neural networks
International Symposium on Circuits and Systems, ({ISCAS}), 2016, 2016
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S. B. Eryilmaz, S. Joshi, E. Neftci, W. Wan, G. Cauwenberghs, and H.-S. P. Wong
Neuromorphic Architectures with Electronic Synapses
International Symposium on Quality Electronic Design (ISQED), 2016
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R. Naous, M. Al-Shedivat, E. Neftci, G. Cauwenberghs, and K. N. Salama
Stochastic synaptic plasticity with memristor crossbar arrays
Circuits and Systems (ISCAS), 2016 IEEE International Symposium on, 2016
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M. Al-Shedivat, E. Neftci, and G. Cauwenberghs
Neural generative models with stochastic synapses capture richer representations
Cosyne Abstracts, 2015
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M. Al-Shedivat, E. Neftci, and G. Cauwenberghs
Learning Non-deterministic Representations with Energy-based Ensembles
arXiv preprint arXiv:1412.7272, 2015
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M. Al-Shedivat, R. Naous, E. Neftci, G. Cauwenberghs, and K. Salama
Inherently Stochastic Spiking Neurons for Probabilistic Neural Computation
IEEE EMBS Conference on Neural Engineering, 2015
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J. Park, S. Ha, T. Yu, E. Neftci, and G. Cauwenberghs
A 65k-Neuron 73-Mevents/S 22-pJ/Event Asynchronous Micro-Pipelined Integrate-and-Fire Array Transceiver
Biomedical Circuits and Systems Conference ({BioCAS}), 2014
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D. Corneil, E. Neftci, G. Indiveri, and M. Pfeiffer
Learning, Inference, and Replay of Hidden State Sequences in Recurrent Spiking Neural Networks
Cosyne Abstracts, 2014
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B. Pedroni, S. Das, E. Neftci, K. Kreutz-Delgado, and G. Cauwenberghs
Neuromorphic Adaptations of Restricted Boltzmann Machines and Deep Belief Networks
International Joint Conference on Neural Networks, {IJCNN} 2013, 2013
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E. Neftci, J. Binas, E. Chicca, G. Indiveri, and R. Douglas
Systematic Construction of Finite State Automata Using VLSI Spiking Neurons
Biomimetic and Biohybrid Systems, Springer Berlin / Heidelberg, 2012, ISBN 978-3-642-31524-4
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D. Corneil, D. Sonnleithner, E. Neftci, E. Chicca, M. Cook, G. Indiveri, and R. Douglas
Real-time inference in a VLSI spiking neural network
International Symposium on Circuits and Systems, ({ISCAS}), 2012, 2012
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D. Corneil, D. Sonnleithner, E. Neftci, E. Chicca, M. Cook, G. Indiveri, and R. Douglas
Function approximation with uncertainty propagation in a VLSI spiking neural network
International Joint Conference on Neural Networks, {(IJCNN)} 2012, 2012
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S. Sheik, F. Stefanini, E. Neftci, E. Chicca, and G. Indiveri
Systematic configuration and automatic tuning of neuromorphic systems
International Symposium on Circuits and Systems, ({ISCAS}), 2011, 2011
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E. Neftci, E. Chicca, M. Cook, G. Indiveri, and R. Douglas
State-Dependent Sensory Processing in Networks of VLSI Spiking Neurons
International Symposium on Circuits and Systems, ({ISCAS}), 2010, 2010
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E. Neftci and G. Indiveri
A Device Mismatch Compensation Method for VLSI Spiking Neural Networks
Biomedical Circuits and Systems Conference ({BioCAS}), 2010, 2010
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E. Neftci, E. Chicca, G. Indiveri, J.-J. Slotine, and R. Douglas
Contraction Properties of VLSI Cooperative Competitive Neural Networks of Spiking Neurons
Advances in Neural Information Processing Systems (NIPS), MIT Press, 2008
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Book Chapters


E. Neftci, C. Posch, and E. Chicca
Neuromorphic Engineering
Computational Intelligence ((in press)), UNESCO Encyclopedia of Life Support Systems, 2014
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Theses


E. Neftci
Towards VLSI Spiking Neuron Assemblies as General-Purpose Processors
2010
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E. Neftci
Study of a Quantum Plaquette Model on a Triangular Lattice
2006
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Posters


E. Neftci, S. Das, B. Pedroni, K. Kreutz-Delgado, and G. Cauwenberghs
Restricted Boltzmann Machines and Continuous-time Contrastive Divergence in Spiking Neuromorphic Systems
20th Joint Symposium on Neural Computation, 2013
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