| Convolutional Networks for Fast, Energy-Efficient Neuromorphic Computing SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ... The Proceedings of the National Academy of Sciences (PNAS) 113 (41), 11441-11446, 2016 | 1245* | 2016 |
| A low power, fully event-based gesture recognition system A Amir, B Taba, D Berg, T Melano, J McKinstry, C Di Nolfo, T Nayak, ... Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1033 | 2017 |
| 50 years of object recognition: Directions forward A Andreopoulos, JK Tsotsos Computer vision and image understanding 117 (8), 827-891, 2013 | 462 | 2013 |
| Efficient and generalizable statistical models of shape and appearance for analysis of cardiac MRI A Andreopoulos, JK Tsotsos Medical image analysis 12 (3), 335-357, 2008 | 396 | 2008 |
| TrueNorth: Accelerating from zero to 64 million neurons in 10 years MV DeBole, B Taba, A Amir, F Akopyan, A Andreopoulos, WP Risk, ... Computer 52 (5), 20-29, 2019 | 259 | 2019 |
| Cognitive computing programming paradigm: a corelet language for composing networks of neurosynaptic cores A Amir, P Datta, WP Risk, AS Cassidy, JA Kusnitz, SK Esser, ... The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013 | 214 | 2013 |
| Cognitive computing systems: Algorithms and applications for networks of neurosynaptic cores SK Esser, A Andreopoulos, R Appuswamy, P Datta, D Barch, A Amir, ... The 2013 International Joint Conference on Neural Networks (IJCNN), 1-10, 2013 | 204 | 2013 |
| Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications J Sawada, F Akopyan, AS Cassidy, B Taba, MV Debole, P Datta, ... SC'16: Proceedings of the International Conference for High Performance …, 2016 | 107 | 2016 |
| Real-time scalable cortical computing at 46 giga-synaptic OPS/watt with~ 100× speedup in time-to-solution and~ 100,000× reduction in energy-to-solution AS Cassidy, R Alvarez-Icaza, F Akopyan, J Sawada, JV Arthur, ... SC'14: Proceedings of the International Conference for High Performance …, 2014 | 100 | 2014 |
| From the cover: Convolutional networks for fast, energy-efficient neuromorphic computing SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ... Proceedings of the National Academy of Sciences of the United States of …, 2016 | 76 | 2016 |
| Active 3D object localization using a humanoid robot A Andreopoulos, S Hasler, H Wersing, H Janssen, JK Tsotsos, E Korner IEEE Transactions on Robotics 27 (1), 47-64, 2010 | 75 | 2010 |
| A low power, high throughput, fully event-based stereo system A Andreopoulos, HJ Kashyap, TK Nayak, A Amir, MD Flickner Proceedings of the IEEE conference on computer vision and pattern …, 2018 | 71 | 2018 |
| Extracting salient features from video using a neurosynaptic system A Andreopoulos, SK Esser, DS Modha US Patent 9,195,903, 2015 | 67 | 2015 |
| Neural inference at the frontier of energy, space, and time DS Modha, F Akopyan, A Andreopoulos, R Appuswamy, JV Arthur, ... Science 382 (6668), 329-335, 2023 | 62 | 2023 |
| A computational learning theory of active object recognition under uncertainty A Andreopoulos, JK Tsotsos International journal of computer vision 101, 95-142, 2013 | 48 | 2013 |
| On sensor bias in experimental methods for comparing interest-point, saliency, and recognition algorithms A Andreopoulos, JK Tsotsos IEEE Transactions on Pattern Analysis and Machine Intelligence 34 (1), 110-126, 2011 | 40 | 2011 |
| Active vision for door localization and door opening using playbot: A computer controlled wheelchair for people with mobility impairments A Andreopoulos, JK Tsotsos 2008 Canadian Conference on Computer and Robot Vision, 3-10, 2008 | 40 | 2008 |
| Always-on speech recognition using truenorth, a reconfigurable, neurosynaptic processor WY Tsai, DR Barch, AS Cassidy, MV DeBole, A Andreopoulos, ... IEEE Transactions on Computers 66 (6), 996-1007, 2016 | 39 | 2016 |
| A theory of active object localization A Andreopoulos, JK Tsotsos 2009 IEEE 12th International Conference on Computer Vision, 903-910, 2009 | 32 | 2009 |
| Scene understanding using a neurosynaptic system A Andreopoulos, R Appuswamy, P Datta, SK Esser, DS Modha US Patent 9,373,058, 2016 | 31 | 2016 |
Dharmendra ModhaIBM FellowEmail verificata su us.ibm.com