| 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 | 191 | 2013 |
| 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 | 155 | 2012 |
| 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 | 108 | 2010 |
| 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 | 46 | 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 | 40 | 2010 |
| Long memory lifetimes require complex synapses and limited sparseness DD Ben Dayan Rubin, S Fusi Frontiers in computational neuroscience 1, 7, 2007 | 37 | 2007 |
| 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 |
| 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 | 17* | 2004 |
| 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 | 5 | 2003 |
| Binary vector factorization DD Ben-Dayan Rubin US Patent App. 15/283,373, 2018 | 2* | 2018 |
| 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 | 2 | 2007 |
| Binary Multiplier for Binary Vector Factorization E Cohen, DD Ben-Dayan Rubin, M Behar, D Vainbrand US Patent US10210137B2, 2019 | | 2019 |
| Instruction, circuits, and logic for piecewise linear approximation DD Ben-Dayan Rubin, Y Glesner US Patent 9,990,196, 2018 | | 2018 |
| An adaptive spiking neural network for decision making in partially observable environments M Rigotti, D Ben Dayan Rubin, ND Daw, S Fusi Cosyne: Computational and Systems Neuroscience Conference, 2012, 2012 | | 2012 |
| Synaptic value bounds for optimizing retrieval in recurrent neural networks DD Ben Dayan Rubin Neurocomputing 58, 745-751, 2004 | | 2004 |
| The influence of variance among synaptic efficacies in recurrent cortical architectures: retrieval of overlapping patterns during learning DD Ben Dayan Rubin | | 2004 |
| Firing proprieties of an adaptive analog VLSI neuron D Ben Dayan Rubin, E Chicca, G Indiveri | | 2004 |
Stefano FusiColumbia UniversityVerified email at columbia.edu