Get started
Author

Jeffrey L. McKinstry

Observed names: J. McKinstry, J.L. McKinstry, Jeffrey L McKinstry, Jeffrey L. Mckinstry, Jeffrey McKinstry, L McKinstry, Jeffrey, McKinstry, Jeffrey L., Mckinstry, Jeffrey, Mckinstry, Jeffrey L, Mckinstry, Jeffrey L.
Institution: IBM (United States)
Observed institutions: IBM (United States), Neurosciences Institute, University of California, Irvine, University of California San Diego, IBM Research - Almaden, Point Loma Nazarene University
OpenAlex ID: A5059206462
A Low Power, Fully Event-Based Gesture Recognition System
2017 · Arnon Amir, Brian Taba, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 1,075
Convolutional networks for fast, energy-efficient neuromorphic computing
2016 · Steven K. Esser, Paul A. Merolla, et al. · Proceedings of the National Academy of Sciences · 814
Learned Step Size Quantization
2019 · Esser, Steven K., McKinstry, Jeffrey L., et al. · arXiv (Cornell University) · 746
PDF
Neural inference at the frontier of energy, space, and time
2023 · Dharmendra S. Modha, Filipp Akopyan, et al. · Science · 127
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference
2018 · McKinstry, Jeffrey L., Esser, Steven K., et al. · arXiv (Cornell University) · 96
PDF
Learned Step Size Quantization
2020 · Steven K. Esser, Jeffrey L. McKinstry, et al. · International Conference on Learning Representations · 84
A cerebellar model for predictive motor control tested in a brain-based device
2006 · Jeffrey L. McKinstry, Gerald M. Edelman, et al. · Proceedings of the National Academy of Sciences · 65
Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference
2019 · Jeffrey L. McKinstry, Steven K. Esser, et al. · Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications (EMC2) · 46
Active Sensing of Visual and Tactile Stimuli by Brain-based Devices
2004 · A.K. Seth, J.L. McKinstry, et al. · International Journal of Robotics and Automation · 40
Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices
2008 · Jeffrey L. McKinstry, Anil K. Seth, et al. · Neural Networks · 32
11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip
2024 · Andrew S. Cassidy, John V. Arthur, et al. · Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference · 26
Texture discrimination by an autonomous mobile brain-based device with whiskers
2004 · A.K. Seth, J.L. McKinstry, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 24
Spontaneous emergence of fast attractor dynamics in a model of developing primary visual cortex
2016 · Thomas Miconi, Jeffrey L. McKinstry, et al. · Nature Communications · 22
PDF
Versatile networks of simulated spiking neurons displaying winner-take-all behavior
2013 · Yanqing Chen, Jeffrey L. McKinstry, et al. · Frontiers in Computational Neuroscience · 16
PDF
Spatiotemporal Processing of Whisker Input Supports Texture Discrimination in a Brain-based Device
2004 · Anil K Seth, Jeffrey L. McKinstry, et al. · The MIT Press eBooks · 16
Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference
2023 · Bablani, Deepika, Mckinstry, Jeffrey L., et al. · arXiv (Cornell University) · 14
PDF
Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device
2013 · Jeffrey L. McKinstry, Gerald M. Edelman · Frontiers in Neurorobotics · 14
PDF
Structured Convolution Matrices for Energy-efficient Deep learning
2016 · Appuswamy, Rathinakumar, Nayak, Tapan, et al. · arXiv (Cornell University) · 13
PDF
IBM NorthPole Neural Inference Machine
2023 · Dharmendra S. Modha, Filipp Akopyan, et al. · IEEE Hot Chips Symposium · 12
Imagery May Arise from Associations Formed through Sensory Experience: A Network of Spiking Neurons Controlling a Robot Learns Visual Sequences in Order to Perform a Mental Rotation Task
2016 · Jeffrey L. McKinstry, Jason G. Fleischer, et al. · PLoS ONE · 8
PDF
Breakthrough Low-Latency, High-Energy-Efficiency LLM Inference Performance Using NorthPole
2024 · Rathinakumar Appuswamy, Michael V. Debole, et al. · IEEE High Performance Extreme Computing Conference · 5
Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing
2018 · Mckinstry, Jeffrey L, Barch, Davis R., et al. · arXiv (Cornell University) · 5
PDF
Charting out the octopus connectome at submicron resolution using the knife-edge scanning microscope
2010 · Yoonsuck Choe, Louise C Abbott, et al. · BMC Neuroscience · 5
PDF
Visual binding, reentry, and neuronal synchrony ina physically situated brain-based device
2003 · Anil K. Seth, Jeffrey L. McKinstry, et al. · 5
The case for using brain-based devices to study consciousness
2011 · Jason G. Fleischer, Jeffrey L. McKinstry, et al. · Cambridge University Press eBooks · 4
Works count: 37
Citation count: 3,331
H-index: 15
I10-index: 19
Year
Topic
Type