| 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 113 (41), 11441-11446, 2016 | 718* | 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 | 168 | 2017 |
| 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 | 93 | 2004 |
| 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 | 89 | 2006 |
| Learned step size quantization SK Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha arXiv preprint arXiv:1902.08153, 2019 | 85 | 2019 |
| 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 | 45 | 2018 |
| 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 | 31 | 2004 |
| 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 | 26 | 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 | 26 | 2004 |
| 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 | 22 | 2009 |
| Spatiotemporal processing of whisker input supports texture discrimination by a brain-based device AK Seth, JL McKinstry, GM Edelman, JL Krichmar Animals to Animats 8: Proceedings of the Eighth International Conference on …, 2004 | 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 | 18 | 2013 |
| 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 | 17 | 2008 |
| Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex T Miconi, JL McKinstry, GM Edelman Nature communications 7 (1), 1-10, 2016 | 14 | 2016 |
| Convolutional networks for fast, energy-efficient neuromorphic computing. 2016 SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ... Preprint on ArXiv. http://arxiv. org/abs/1603.08270. Accessed 27, 2016 | 13 | 2016 |
| Convolutional networks for fast SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ... Energy-Efficient Neuromorphic Computing. CoRR, abs/1603.08270, 2016 | 11 | 2016 |
| 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 | 11 | 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 | 9 | 2016 |
| Visual binding, reentry, and neuronal synchrony in a physically situated brain-based device AK Seth, JL McKinstry, GM Edelman, JL Krichmar Lund University Cognitive Studies 101, 177-178, 2003 | 8 | 2003 |
| 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 | 7 | 2016 |
