Bruno U Pedroni
TitleCited byYear
Event-driven contrastive divergence for spiking neuromorphic systems
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
Frontiers in neuroscience 7, 272, 2014
1452014
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
592016
Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware
PU Diehl, G Zarrella, A Cassidy, BU Pedroni, E Neftci
2016 IEEE International Conference on Rebooting Computing (ICRC), 1-8, 2016
562016
TrueHappiness: Neuromorphic emotion recognition on TrueNorth
PU Diehl, BU Pedroni, A Cassidy, P Merolla, E Neftci, G Zarrella
Neural Networks (IJCNN), 2016 International Joint Conference on, 4278-4285, 2016
322016
Output stage based high-resolution min/max and rank-order filters
VA Pedroni, BU Pedroni
IEEE Transactions on Circuits and Systems II: Express Briefs 52 (1), 28-32, 2005
182005
Mapping Generative Models onto a Network of Digital Spiking Neurons
BU Pedroni, S Das, JV Arthur, PA Merolla, BL Jackson, DS Modha, ...
IEEE Transactions on Biomedical Circuits and Systems, 2016
162016
Gibbs sampling with low-power spiking digital neurons
S Das, BU Pedroni, P Merolla, J Arthur, AS Cassidy, BL Jackson, ...
2015 IEEE International Symposium on Circuits and Systems (ISCAS), 2704-2707, 2015
162015
Neural and synaptic array transceiver: A brain-inspired computing framework for embedded learning
G Detorakis, S Sheik, C Augustine, S Paul, BU Pedroni, N Dutt, ...
Frontiers in neuroscience 12, 583, 2018
122018
Unsupervised learning in synaptic sampling machines
EO Neftci, BU Pedroni, S Joshi, M Al-Shedivat, G Cauwenberghs
arXiv preprint arXiv:1511.04484, 2015
122015
Fast classification using sparsely active spiking networks
H Mostafa, BU Pedroni, S Sheik, G Cauwenberghs
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
112017
Forward table-based presynaptic event-triggered spike-timing-dependent plasticity
BU Pedroni, S Sheik, S Joshi, G Detorakis, S Paul, C Augustine, E Neftci, ...
2016 IEEE Biomedical Circuits and Systems Conference (BioCAS), 580-583, 2016
112016
Hardware implementation of a Viterbi decoder using the minimal trellis
BU Pedroni, VA Pedroni, RD Souza
2010 4th International Symposium on Communications, Control and Signal …, 2010
112010
Neuromorphic adaptations of Restricted Boltzmann Machines and Deep Belief Networks
BU Pedroni, S Das, E Neftci, K Kreutz-Delgado, G Cauwenberghs
Neural Networks (IJCNN), The 2013 International Joint Conference on, 1-6, 2013
102013
Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks
H Mostafa, B Pedroni, S Sheik, G Cauwenberghs
Frontiers in neuroscience 11, 496, 2017
62017
Event-driven contrastive divergence: neural sampling foundations
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
Frontiers in neuroscience 9, 104, 2015
62015
Restricted boltzmann machines and continuous-time contrastive divergence in spiking neuromorphic systems
E Neftci, S Das, B Pedroni, K Kreutz-Delgado, G Cauwenberghs
May, 2013
52013
Neuromorphic event-driven multi-scale synaptic connectivity and plasticity
S Joshi, BU Pedroni, G Cauwenberghs
2017 51st Asilomar Conference on Signals, Systems, and Computers, 1-5, 2017
22017
Detecting keywords in audio using a spiking neural network
M Khellah, O Arad, B Ravindran, S Paul, C Augustine, BU Pedroni
US Patent 10,403,266, 2019
2019
DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity
Y Sakai, BU Pedroni, S Joshi, A Akinin, G Cauwenberghs
2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
2019
Performance Trade-offs in Weight Quantization for Memory-Efficient Inference
PM Tostado, BU Pedroni, G Cauwenberghs
2019 IEEE International Conference on Artificial Intelligence Circuits and …, 2019
2019
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Articles 1–20