| 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 | 871 | 2017 |
| Learned step size quantization SK Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha arXiv preprint arXiv:1902.08153, 2019 | 767 | 2019 |
| 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 | 224 | 2019 |
| Visual binding through reentrant connectivity and dynamic synchronization in a brain-based device AK Seth, JL McKinstry, GM Edelman, JL Krichmar Cerebral Cortex 14 (11), 1185-1199, 2004 | 110 | 2004 |
| Discovering low-precision networks close to full-precision networks for efficient embedded inference JL McKinstry, SK Esser, R Appuswamy, D Bablani, JV Arthur, IB Yildiz, ... arXiv preprint arXiv:1809.04191, 2018 | 103 | 2018 |
| A cerebellar model for predictive motor control tested in a brain-based device JL McKinstry, GM Edelman, JL Krichmar Proceedings of the National Academy of Sciences 103 (9), 3387-3392, 2006 | 92 | 2006 |
| 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 | 68 | 2016 |
| Texture discrimination by an autonomous mobile brain-based device with whiskers AK Seth, JL McKinstry, GM Edelman, JL Krichmar IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004 | 34 | 2004 |
| 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 | 33 | 2023 |
| Mobile brain-based device for use in a real world environment AK Seth, JL McKinstry, GM Edelman, JL Krichmar US Patent App. 12/421,859, 2011 | 30 | 2011 |
| Active sensing of visual and tactile stimuli by brain-based devices AK Seth, JL McKinstry, GM Edelman, JL Krichmar International Journal of Robotics and Automation 19 (4), 222-238, 2004 | 29 | 2004 |
| Discovering low-precision networks close to full-precision networks for efficient inference JL McKinstry, SK Esser, R Appuswamy, D Bablani, JV Arthur, IB Yildiz, ... 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive …, 2019 | 27 | 2019 |
| Proceedings of the ieee conference on computer vision and pattern recognition A Amir, B Taba, D Berg, T Melano, J McKinstry, C Di Nolfo | 25 | 2017 |
| Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex T Miconi, JL McKinstry, GM Edelman Nature communications 7 (1), 13208, 2016 | 24 | 2016 |
| Mobile brain-based device for use in a real world environment AK Seth, JL McKinstry, GM Edelman, JL Krichmar US Patent 7,519,452, 2009 | 24 | 2009 |
| Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices JL McKinstry, AK Seth, GM Edelman, JL Krichmar Neural networks 21 (4), 553-561, 2008 | 21 | 2008 |
| Spatiotemporal Processing of Whisker Input Supports Texture Discrimination in a Brain-based Device AK Seth, JL McKinstry, GM Edelman, JL Krichmar | 21 | 2004 |
| Versatile networks of simulated spiking neurons displaying winner-take-all behavior Y Chen, JL McKinstry, GM Edelman Frontiers in computational neuroscience 7, 16, 2013 | 17 | 2013 |
| Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device JL McKinstry, GM Edelman Frontiers in neurorobotics 7, 10, 2013 | 15 | 2013 |
| Structured convolution matrices for energy-efficient deep learning R Appuswamy, T Nayak, J Arthur, S Esser, P Merolla, J Mckinstry, ... arXiv preprint arXiv:1606.02407, 2016 | 14 | 2016 |
