Jeffrey L. McKinstry

According to our database, Jeffrey L. McKinstry authored at least 18 papers between 2003 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip.

Andrew S. Cassidy, John V. Arthur, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda, Dharmendra S. Modha

Proceedings of the IEEE International Solid-State Circuits Conference, 2024

2023

Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference.

Deepika Bablani, Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Dharmendra S. Modha

CoRR, 2023

IBM NorthPole Neural Inference Machine.

Dharmendra S. Modha, Filipp Akopyan, Alexander Andreopoulos, Rathinakumar Appuswamy, John V. Arthur, Andrew S. Cassidy, Pallab Datta, Michael V. DeBole, Steven K. Esser, Carlos Ortega Otero, Jun Sawada, Brian Taba, Arnon Amir, Deepika Bablani, Peter J. Carlson, Myron D. Flickner, Rajamohan Gandhasri, Guillaume Garreau, Megumi Ito, Jennifer L. Klamo, Jeffrey A. Kusnitz, Nathaniel J. McClatchey, Jeffrey L. McKinstry, Yutaka Y. Nakamura, Tapan K. Nayak, William P. Risk, Kai Schleupen, Ben Shaw, Jay Sivagnaname, Daniel F. Smith, Ignacio Terrizzano, Takanori Ueda

Proceedings of the 35th IEEE Hot Chips Symposium, 2023

2020

Learned Step Size quantization.

Steven K. Esser, Jeffrey L. McKinstry, Deepika Bablani, Rathinakumar Appuswamy, Dharmendra S. Modha

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

TrueNorth: Accelerating From Zero to 64 Million Neurons in 10 Years.

Michael V. DeBole, Brian Taba, Arnon Amir, Filipp Akopyan, Alexander Andreopoulos, William P. Risk, Jeff Kusnitz, Carlos Ortega Otero, Tapan K. Nayak, Rathinakumar Appuswamy, Peter J. Carlson, Andrew S. Cassidy, Pallab Datta, Steven K. Esser, Guillaume Garreau, Kevin L. Holland, Scott Lekuch, Michael Mastro, Jeffrey L. McKinstry, Carmelo di Nolfo, Brent Paulovicks, Jun Sawada, Kai Schleupen, Benjamin G. Shaw, Jennifer L. Klamo, Myron D. Flickner, John V. Arthur, Dharmendra S. Modha

Computer, 2019

Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference.

Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

2018

Low Precision Policy Distillation with Application to Low-Power, Real-time Sensation-Cognition-Action Loop with Neuromorphic Computing.

Jeffrey L. McKinstry, Davis R. Barch, Deepika Bablani, Michael DeBole, Steven K. Esser, Jeffrey A. Kusnitz, John V. Arthur, Dharmendra S. Modha

CoRR, 2018

Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Embedded Inference.

Jeffrey L. McKinstry, Steven K. Esser, Rathinakumar Appuswamy, Deepika Bablani, John V. Arthur, Izzet B. Yildiz, Dharmendra S. Modha

CoRR, 2018

2017

A Low Power, Fully Event-Based Gesture Recognition System.

Arnon Amir, Brian Taba, David J. Berg, Timothy Melano, Jeffrey L. McKinstry, Carmelo di Nolfo, Tapan K. Nayak, Alexander Andreopoulos, Guillaume Garreau, Marcela Mendoza, Jeff Kusnitz, Michael DeBole, Steven K. Esser, Tobi Delbrück, Myron Flickner, Dharmendra S. Modha

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Convolutional networks for fast, energy-efficient neuromorphic computing.

Steven K. Esser, Paul A. Merolla, John V. Arthur, Andrew S. Cassidy, Rathinakumar Appuswamy, Alexander Andreopoulos, David J. Berg, Jeffrey L. McKinstry, Timothy Melano, Davis R. Barch, Carmelo di Nolfo, Pallab Datta, Arnon Amir, Brian Taba, Myron D. Flickner, Dharmendra S. Modha

Proc. Natl. Acad. Sci. USA, 2016

Structured Convolution Matrices for Energy-efficient Deep learning.

Rathinakumar Appuswamy, Tapan K. Nayak, John V. Arthur, Steven K. Esser, Paul Merolla, Jeffrey L. McKinstry, Timothy Melano, Myron Flickner, Dharmendra S. Modha

CoRR, 2016

2013

Temporal sequence learning in winner-take-all networks of spiking neurons demonstrated in a brain-based device.

Jeffrey L. McKinstry, Gerald M. Edelman

Frontiers Neurorobotics, 2013

Versatile networks of simulated spiking neurons displaying winner-take-all behavior.

Yanqing Chen, Jeffrey L. McKinstry, Gerald M. Edelman

Frontiers Comput. Neurosci., 2013

2008

Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices.

Jeffrey L. McKinstry, Anil K. Seth, Gerald M. Edelman, Jeffrey L. Krichmar

Neural Networks, 2008

2007

Testing for Machine Consciousness Using Insight Learning.

Catherine Marcarelli, Jeffrey L. McKinstry

Proceedings of the AI and Consciousness: Theoretical Foundations and Current Approaches, 2007

2004

Active Sensing of Visual and Tactile Stimuli by Brain-based Devices.

Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar

Int. J. Robotics Autom., 2004

Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers.

Anil K. Seth, Jeffrey L. McKinstry, Gerald M. Edelman, Jeffrey L. Krichmar

Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

2003

Searching for an IT model with columnar organization.

Jeffrey L. McKinstry

Neurocomputing, 2003