| Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores AS Cassidy, P Merolla, JV Arthur, SK Esser, B Jackson, R Alvarez-Icaza, ... Neural Networks (IJCNN), The 2013 International Joint Conference on, 1-10, 2013 | 353 | 2013 |
| Internal representation of task rules by recurrent dynamics: the importance of the diversity of neural responses M Rigotti, DD Ben Dayan Rubin, XJ Wang, S Fusi Frontiers in computational neuroscience 4, 24, 2010 | 208 | 2010 |
| Building block of a programmable neuromorphic substrate: A digital neurosynaptic core JV Arthur, PA Merolla, F Akopyan, R Alvarez, A Cassidy, S Chandra, ... Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-8, 2012 | 198 | 2012 |
| Efficient Neuromorphic Signal Processing with Loihi 2 G Orchard, EP Frady, D Ben Dayan Rubin, S Sanborn, SB Shrestha, ... 2021 IEEE Workshop on Signal Processing Systems (SiPS), 2021 | 176 | 2021 |
| Neuromorphic accelerators: a comparison between neuroscience and machine-learning approaches Z Du, DD Ben-Dayan Rubin, Y Chen, L He, T Chen, L Zhang, C Wu, ... Proceedings of the 48th International Symposium on Microarchitecture, 494-507, 2015 | 97 | 2015 |
| Attractor concretion as a mechanism for the formation of context representations M Rigotti, D Ben Dayan Rubin, SE Morrison, CD Salzman, S Fusi Neuroimage 52 (3), 833-847, 2010 | 59 | 2010 |
| Long memory lifetimes require complex synapses and limited sparseness DD Ben Dayan Rubin, S Fusi Frontiers in computational neuroscience 1, 7, 2007 | 46 | 2007 |
| The Intel Neuromorphic DNS Challenge J Timchek, SB Shrestha, D Ben Dayan Rubin, A Kupryjanow, G Orchard, ... arXiv preprint arXiv:2303.09503, 2023 | 21 | 2023 |
| Characterizing the firing properties of an adaptive analog VLSI neuron D Ben Dayan Rubin, E Chicca, G Indiveri International Workshop on Biologically Inspired Approaches to Advanced …, 2004 | 21 | 2004 |
| An adaptive neuro-fuzzy method (ANFIS) for estimating single-trial movement-related potentials DD Ben Dayan Rubin, G Baselli, GF Inbar, S Cerutti Biological cybernetics 91 (2), 63-75, 2004 | 17 | 2004 |
| Efficient Neuromorphic Signal Processing with Resonator Neurons EP Frady, S Sanborn, SB Shrestha, D Ben Dayan Rubin, G Orchard, ... Journal of Signal Processing Systems 94 (10), 917-927, 2022 | 14 | 2022 |
| Instruction, circuits, and logic for piecewise linear approximation DD Ben-Dayan Rubin, Y Glesner US Patent 9,990,196, 2018 | 12 | 2018 |
| Image difference based segmentation using recursive neural networks DD Ben-Dayan Rubin, E Hoffer US Patent 10,148,872, 2018 | 9* | 2018 |
| Frontoparietal cortical networks revealed by structural equation modeling and high resolution EEG during a short term memory task F Babiloni, F Cincotti, A Basilisco, E Maso, M Bufano, C Babiloni, ... First International IEEE EMBS Conference on Neural Engineering, 2003 …, 2003 | 9 | 2003 |
| The importance of neural diversity in complex cognitive tasks M Rigotti, DD Ben Dayan Rubin, XJ Wang, S Fusi Program No. 929.3. Abstract viewer/Itinerary planner, 2007 | 4 | 2007 |
| Binary Multiplier for Binary Vector Factorization E Cohen, DD Ben-Dayan Rubin, M Behar, D Vainbrand US Patent US10210137B2, 2019 | 2 | 2019 |
| Mixed neuronal selectivity is important in recurrent neural networks implementing context dependent tasks M Rigotti, D Ben Dayan Rubin, XJ Wang, S Fusi CNS 2008, 2008 | 2 | 2008 |
| Method and system of audio processing using cochlear-simulating spike data L Pindor, DDBD Rubin, A Kupryjanow US Patent App. 17/861,784, 2022 | | 2022 |
| Peak self-normalization gain control based on hopf resonators cascade signal spectral decomposition DD Ben Dayan Rubin US Patent App. 17/643,652, 2022 | | 2022 |
| Binary Vector Factorization DD Ben-Dayan Rubin US Patent US15/283,373, 2018 | | 2018 |
Stefano FusiColumbia University在 columbia.edu 的电子邮件经过验证
