Emre Neftci
Emre Neftci
Assistant Professor, Department of Cognitive Sciences, UC Irvine
Verified email at uci.edu - Homepage
Title
Cited by
Cited by
Year
Event-driven contrastive divergence for spiking neuromorphic systems
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
Frontiers in neuroscience 7, 2014
1612014
Event-driven random back-propagation: Enabling neuromorphic deep learning machines
E Neftci, C Augustine, S Paul, G Detorakis
Frontiers in neuroscience, 2017
1232017
Synthesizing cognition in neuromorphic electronic systems
E Neftci, J Binas, U Rutishauser, E Chicca, G Indiveri, RJ Douglas
Proceedings of the National Academy of Sciences 110 (37), E3468-E3476, 2013
1212013
Stochastic synapses enable efficient brain-inspired learning machines
EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs
Frontiers in neuroscience 10, 241, 2016
81*2016
Conversion of Artificial Recurrent Neural Networks to Spiking Neural Networks for Low-power Neuromorphic Hardware
EN Peter U. Diehl, Guido Zarrella, Andrew Cassidy, Bruno U. Pedroni
arXiv preprint arXiv:1601.04187, 2016
71*2016
A systematic method for configuring VLSI networks of spiking neurons
E Neftci, E Chicca, G Indiveri, R Douglas
Neural computation, 1-41, 2011
552011
A 65k-neuron 73-Mevents/s 22-pJ/event asynchronous micro-pipelined integrate-and-fire array transceiver
J Park, S Ha, T Yu, E Neftci, G Cauwenberghs
2014 IEEE Biomedical Circuits and Systems Conference (BioCAS) Proceedings …, 2014
542014
Truehappiness: Neuromorphic emotion recognition on truenorth
PU Diehl, BU Pedroni, A Cassidy, P Merolla, E Neftci, G Zarrella
2016 International Joint Conference on Neural Networks (IJCNN), 4278-4285, 2016
432016
Surrogate gradient learning in spiking neural networks: Bringing the power of gradient-based optimization to spiking neural networks
EO Neftci, H Mostafa, F Zenke
IEEE Signal Processing Magazine 36 (6), 51-63, 2019
382019
Learning of chunking sequences in cognition and behavior
J Fonollosa, E Neftci, M Rabinovich
PLoS computational biology 11 (11), 2015
352015
A device mismatch compensation method for VLSI neural networks
E Neftci, G Indiveri
2010 Biomedical Circuits and Systems Conference (BioCAS), 262-265, 2010
302010
Training a probabilistic graphical model with resistive switching electronic synapses
SB Eryilmaz, E Neftci, S Joshi, SB Kim, M BrightSky, HL Lung, C Lam, ...
IEEE Transactions on Electron Devices 63 (12), 5004-5011, 2016
292016
Reinforcement learning in artificial and biological systems
EO Neftci, BB Averbeck
Nature Machine Intelligence, 3, 2019
252019
Data and power efficient intelligence with neuromorphic learning machines
EO Neftci
iScience 5, 52-68, 2018
232018
Neuromorphic architectures with electronic synapses
SB Eryilmaz, S Joshi, E Neftci, W Wan, G Cauwenberghs, HSP Wong
2016 17th International Symposium on Quality Electronic Design (ISQED), 118-123, 2016
232016
Systematic configuration and automatic tuning of neuromorphic systems
S Sheik, F Stefanini, E Neftci, E Chicca, G Indiveri
2011 IEEE International Symposium of Circuits and Systems (ISCAS), 873-876, 2011
192011
Memristor-based neural networks: Synaptic versus neuronal stochasticity
R Naous, M AlShedivat, E Neftci, G Cauwenberghs, KN Salama
Aip Advances 6 (11), 111304, 2016
182016
State-dependent sensory processing in networks of VLSI spiking neurons
E Neftci, E Chicca, M Cook, G Indiveri, R Douglas
Circuits and Systems (ISCAS), Proceedings of 2010 IEEE International …, 2010
172010
Inherently stochastic spiking neurons for probabilistic neural computation
M Al-Shedivat, R Naous, E Neftci, G Cauwenberghs, KN Salama
2015 7th International IEEE/EMBS Conference on Neural Engineering (NER), 356-359, 2015
162015
PyNCS: a microkernel for high-level definition and configuration of neuromorphic electronic systems
F Stefanini, EO Neftci, S Sheik, G Indiveri
Frontiers in neuroinformatics 8, 73, 2014
142014
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Articles 1–20