Articles with public access mandates - Emre NeftciLearn more
Not available anywhere: 3
Interfacing neuromorphic hardware with machine learning frameworks-a review
J Lohoff, Z Yu, J Finkbeiner, A Kaya, K Stewart, H Wai Lui, E Neftci
Proceedings of the 2023 International Conference on Neuromorphic Systems, 1-8, 2023
Mandates: Federal Ministry of Education and Research, Germany
Patient Privacy Protecting Physics Informed Neural Network for Cardiovascular Monitoring
HW Lui, E Gallo, E Neftci
2023 IEEE Biomedical Circuits and Systems Conference (BioCAS), 1-5, 2023
Mandates: Federal Ministry of Education and Research, Germany
Uncertainty Aware Model Integration on Reinforcement Learning
T Nagata, J Xing, T Kumazawa, E Neftci
2022 International Joint Conference on Neural Networks (IJCNN), 1-7, 2022
Mandates: US National Science Foundation
Available somewhere: 57
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
Mandates: US National Science Foundation, Swiss National Science Foundation, Wellcome …
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, 2023
Mandates: US National Science Foundation
2022 roadmap on neuromorphic computing and engineering
DV Christensen, R Dittmann, B Linares-Barranco, A Sebastian, ...
Neuromorphic Computing and Engineering 2 (2), 022501, 2022
Mandates: US National Science Foundation, Swiss National Science Foundation, US …
Event-driven random back-propagation: Enabling neuromorphic deep learning machines
E Neftci, C Augustine, S Paul, G Detorakis
Frontiers in neuroscience, 2017
Mandates: US National Science Foundation
Synaptic plasticity dynamics for deep continuous local learning (DECOLLE)
J Kaiser, H Mostafa, E Neftci
Frontiers in Neuroscience 14, 424, 2020
Mandates: US National Science Foundation, Swiss National Science Foundation
Reinforcement learning in artificial and biological systems
EO Neftci, BB Averbeck
Nature Machine Intelligence, 3, 2019
Mandates: US National Science Foundation, US National Institutes of Health
Event-driven contrastive divergence for spiking neuromorphic systems
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
Frontiers in neuroscience 7, 2014
Mandates: Swiss National Science Foundation
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
Mandates: US National Science Foundation
Brain-inspired learning on neuromorphic substrates
F Zenke, EO Neftci
Proceedings of the IEEE 109 (5), 935-950, 2021
Mandates: US National Science Foundation
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
Mandates: Swiss National Science Foundation
A systematic method for configuring VLSI networks of spiking neurons
E Neftci, E Chicca, G Indiveri, R Douglas
Neural computation, 1-41, 2011
Mandates: Swiss National Science Foundation
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
Data and power efficient intelligence with neuromorphic learning machines
EO Neftci
Iscience 5, 52-68, 2018
Mandates: US National Science Foundation
Domain adaptation in reinforcement learning via latent unified state representation
J Xing, T Nagata, K Chen, X Zou, E Neftci, JL Krichmar
Proceedings of the AAAI Conference on Artificial Intelligence 35 (12), 10452 …, 2021
Mandates: US National Science Foundation, US Department of Defense
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
Mandates: US National Science Foundation
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
Mandates: US National Science Foundation
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