Journal Articles

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
URL, DOI, RIS, BibTex
E. Neftci, C. Augustine, S. Paul, and G. Detorakis
Event-driven Random Back-Propagation: Enabling Neuromorphic Deep Learning Machines
arXiv preprint arXiv:1612.05596, 2016
RIS, BibTex
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
URL, RIS, BibTex
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
URL, RIS, BibTex
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
URL, DOI, RIS, BibTex
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

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
URL, RIS, BibTex
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
URL, RIS, BibTex
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
URL, RIS, BibTex
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
URL, RIS, BibTex
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
URL, RIS, BibTex
M. Al-Shedivat, E. Neftci, and G. Cauwenberghs
Neural generative models with stochastic synapses capture richer representations
Cosyne Abstracts, 2015
RIS, BibTex
M. Al-Shedivat, E. Neftci, and G. Cauwenberghs
Learning Non-deterministic Representations with Energy-based Ensembles
arXiv preprint arXiv:1412.7272, 2015
URL, RIS, BibTex
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
URL, RIS, BibTex
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
URL, DOI, ISBN, RIS, BibTex
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
URL, DOI, RIS, BibTex
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
URL, DOI, RIS, BibTex
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
URL, DOI, RIS, BibTex
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
URL, RIS, BibTex
E. Neftci
Study of a Quantum Plaquette Model on a Triangular Lattice
2006
URL, RIS, BibTex

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
RIS, BibTex