Output stage based high-resolution min/max and rank-order filters. - Volnei A. Pedroni; Bruno U. Pedroni (IEEE Trans. Circuits Syst. II Express Briefs, 2005)

Neuromorphic adaptations of restricted Boltzmann machines and deep belief networks. - Bruno U. Pedroni; Srinjoy Das; Emre Neftci; Kenneth Kreutz-Delgado; Gert Cauwenberghs (IJCNN, 2013)

Event-Driven Contrastive Divergence for Spiking Neuromorphic Systems. - Emre Neftci; Srinjoy Das; Bruno U. Pedroni; Kenneth Kreutz-Delgado; Gert Cauwenberghs (CoRR, 2013)

Gibbs sampling with low-power spiking digital neurons. - Srinjoy Das; Bruno Umbria Pedroni; Paul Merolla; John V. Arthur; Andrew S. Cassidy; Bryan L. Jackson; Dharmendra S. Modha; Gert Cauwenberghs; Kenneth Kreutz-Delgado (ISCAS, 2015)

Unsupervised Learning in Synaptic Sampling Machines. - Emre Neftci; Bruno U. Pedroni; Siddharth Joshi 001; Maruan Al-Shedivat; Gert Cauwenberghs (CoRR, 2015)

Mapping Generative Models onto Networks of Digital Spiking Neurons. - Bruno U. Pedroni; Srinjoy Das; John V. Arthur; Paul Merolla; Bryan L. Jackson; Dharmendra S. Modha; Kenneth Kreutz-Delgado; Gert Cauwenberghs (CoRR, 2015)

Forward table-based presynaptic event-triggered spike-timing-dependent plasticity. - Bruno U. Pedroni; Sadique Sheik; Siddharth Joshi 001; Georgios Detorakis; Somnath Paul; Charles Augustine; Emre Neftci; Gert Cauwenberghs (BioCAS, 2016)

Conversion of artificial recurrent neural networks to spiking neural networks for low-power neuromorphic hardware. - Peter U. Diehl; Guido Zarrella; Andrew Cassidy; Bruno U. Pedroni; Emre Neftci (ICRC, 2016)

TrueHappiness: Neuromorphic emotion recognition on TrueNorth. - Peter U. Diehl; Bruno U. Pedroni; Andrew Cassidy; Paul Merolla; Emre Neftci; Guido Zarrella (IJCNN, 2016)

Mapping Generative Models onto a Network of Digital Spiking Neurons. - Bruno U. Pedroni; Srinjoy Das; John V. Arthur; Paul A. Merolla; Bryan L. Jackson; Dharmendra S. Modha; Kenneth Kreutz-Delgado; Gert Cauwenberghs (IEEE Trans. Biomed. Circuits Syst., 2016)

Neuromorphic event-driven multi-scale synaptic connectivity and plasticity. - Siddharth Joshi 001; Bruno U. Pedroni; Gert Cauwenberghs (ACSSC, 2017)

Fast classification using sparsely active spiking networks. - Hesham Mostafa Elsayed; Bruno U. Pedroni; Sadique Sheik; Gert Cauwenberghs (ISCAS, 2017)

Pipelined parallel contrastive divergence for continuous generative model learning. - Bruno U. Pedroni; Sadique Sheik; Gert Cauwenberghs (ISCAS, 2017)

Hardware-efficient on-line learning through pipelined truncated-error backpropagation in binary-state networks. - Hesham Mostafa Elsayed; Bruno U. Pedroni; Sadique Sheik; Gert Cauwenberghs (CoRR, 2017)

Neural and Synaptic Array Transceiver: A Brain-Inspired Computing Framework for Embedded Learning. - Georgios Detorakis; Sadique Sheik; Charles Augustine; Somnath Paul; Bruno U. Pedroni; Nikil D. Dutt; Jeffrey L. Krichmar; Gert Cauwenberghs; Emre Neftci (CoRR, 2017)

Unsupervised Synaptic Pruning Strategies for Restricted Boltzmann Machines. - Surabhi Kalyan; Siddharth Joshi 001; Sadique Sheik; Bruno U. Pedroni; Gert Cauwcnbcrghs (BioCAS, 2018)

Small-footprint Spiking Neural Networks for Power-efficient Keyword Spotting. - Bruno U. Pedroni; Sadique Sheik; Hesham Mostafa; Somnath Paul; Charles Augustine; Gert Cauwenberghs (BioCAS, 2018)

DropOut and DropConnect for Reliable Neuromorphic Inference under Energy and Bandwidth Constraints in Network Connectivity. - Yasufumi Sakai; Bruno U. Pedroni; Siddharth Joshi 001; Abraham Akinin; Gert Cauwenberghs (AICAS, 2019)

Performance Trade-offs in Weight Quantization for Memory-Efficient Inference. - Pablo M. Tostado; Bruno U. Pedroni; Gert Cauwenberghs (AICAS, 2019)

Dropout and DropConnect for Reliable Neuromorphic Inference Under Communication Constraints in Network Connectivity. - Yasufumi Sakai; Bruno U. Pedroni; Siddharth Joshi 001; Satoshi Tanabe; Abraham Akinin; Gert Cauwenberghs (IEEE J. Emerg. Sel. Topics Circuits Syst., 2019)

Boltzmann Energetics and Temporal Dynamics of Learning Neuromorphic Systems. - Bruno U. Pedroni (2019)

Design Principles of Large-Scale Neuromorphic Systems Centered on High Bandwidth Memory. - Bruno U. Pedroni; Stephen R. Deiss; Nishant Mysore; Gert Cauwenberghs (ICRC, 2020)

Hierarchical Network Partitioning for Reconfigurable Large-Scale Neuromorphic Systems. - Nishant Mysore; Gopabandhu Hota; Stephen R. Deiss; Bruno U. Pedroni; Gert Cauwenberghs (ICRC, 2021)

Hierarchical Multicast Network-On-Chip for Scalable Reconfigurable Neuromorphic Systems. - Gopabandhu Hota; Nishant Mysore; Stephen R. Deiss; Bruno U. Pedroni; Gert Cauwenberghs (ISCAS, 2022)