Jeffrey L. McKinstry
Jeffrey L. McKinstry
IBM Research, Almaden
Verified email at us.ibm.com
Title
Cited by
Cited by
Year
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
1682017
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
932004
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
892006
Learned step size quantization
SK Esser, JL McKinstry, D Bablani, R Appuswamy, DS Modha
arXiv preprint arXiv:1902.08153, 2019
852019
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
452018
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
312004
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
262011
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
262004
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
222009
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
212004
Versatile networks of simulated spiking neurons displaying winner-take-all behavior
Y Chen, JL McKinstry, GM Edelman
Frontiers in computational neuroscience 7, 16, 2013
182013
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
172008
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
142016
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
132016
Convolutional networks for fast
SK Esser, PA Merolla, JV Arthur, AS Cassidy, R Appuswamy, ...
Energy-Efficient Neuromorphic Computing. CoRR, abs/1603.08270, 2016
112016
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
112013
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
92016
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
82003
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
72016
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