Παρακολούθηση
Emre Neftci
Emre Neftci
Institute Director, Forschungszentrum Jülich; Professor, RWTH Aachen
Η διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα fz-juelich.de - Αρχική σελίδα
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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
14952019
Training spiking neural networks using lessons from deep learning
JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ...
Proceedings of the IEEE 111 (9), 1016-1054, 2023
6362023
2022 roadmap on neuromorphic computing and engineering
DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ...
Neuromorphic Computing and Engineering 2 (2), 022501, 2022
5142022
Event-driven random back-propagation: Enabling neuromorphic deep learning machines
E Neftci, C Augustine, S Paul, G Detorakis
Frontiers in neuroscience, 2017
3462017
Synaptic plasticity dynamics for deep continuous local learning (DECOLLE)
J Kaiser, H Mostafa, E Neftci
Frontiers in Neuroscience 14, 424, 2020
3332020
Reinforcement learning in artificial and biological systems
EO Neftci, BB Averbeck
Nature Machine Intelligence, 3, 2019
2962019
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
290*2016
Event-driven contrastive divergence for spiking neuromorphic systems
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
Frontiers in neuroscience 7, 2014
2702014
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
1932013
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
1732016
Brain-inspired learning on neuromorphic substrates
F Zenke, EO Neftci
Proceedings of the IEEE 109 (5), 935-950, 2021
1102021
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
1042014
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
1002016
Visualizing a joint future of neuroscience and neuromorphic engineering
F Zenke, SM Bohté, C Clopath, IM Comşa, J Göltz, W Maass, ...
Neuron 109 (4), 571-575, 2021
902021
Learning of chunking sequences in cognition and behavior
J Fonollosa, E Neftci, M Rabinovich
PLoS computational biology 11 (11), e1004592, 2015
762015
A systematic method for configuring VLSI networks of spiking neurons
E Neftci, E Chicca, G Indiveri, R Douglas
Neural computation, 1-41, 2011
702011
Online few-shot gesture learning on a neuromorphic processor
K Stewart, G Orchard, SB Shrestha, E Neftci
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 10 (4 …, 2020
572020
Spiking neural networks for inference and learning: A memristor-based design perspective
ME Fouda, F Kurdahi, A Eltawil, E Neftci
Memristive devices for brain-inspired computing, 499-530, 2020
552020
Neural sampling machine with stochastic synapse allows brain-like learning and inference
S Dutta, G Detorakis, A Khanna, B Grisafe, E Neftci, S Datta
Nature Communications 13 (1), 2571, 2022
532022
Data and power efficient intelligence with neuromorphic learning machines
EO Neftci
Iscience 5, 52-68, 2018
532018
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