Bryan L. Jackson

D. E. Shaw Research — United States

Engineering · Physical Sciences

20h-index7.1kcitations37works0.02yr avg
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Research Topics

Advanced Memory and Neural Computing(18), Neural dynamics and brain function(7), Phase-change materials and chalcogenides(7), T-cell and B-cell Immunology(4), Neural Networks and Applications(4)

Publications37 total

Anton 3
2021· 110 citedOpen Access
The ΛNTON 3 ASIC: a Fire-Breathing Monster for Molecular Dynamics Simulations
2021· 1 cited
Missing girls in the United States: Literature review and some analysis
2019
Engineering the Solid Oxide Fuel Cell Through Infiltrating the Porous Electrodes
2018Open Access
Always-On Speech Recognition Using TrueNorth, a Reconfigurable, Neurosynaptic Processor
IEEE Transactions on Computers·2016· 35 cited
Truenorth ecosystem for brain-inspired computing: scalable systems, software, and applications
IEEE International Conference on High Performance Computing, Data, and Analytics·2016· 43 cited
TrueNorth Ecosystem for Brain-Inspired Computing: Scalable Systems, Software, and Applications
2016· 60 citedOpen Access
LATTE: Low-power Audio Transform with TrueNorth Ecosystem
2016· 9 cited
Real-time sensory information processing using the TrueNorth Neurosynaptic System
2016· 17 cited
TrueNorth: A High-Performance, Low-Power Neurosynaptic Processor for Multi-Sensory Perception, Action, and Cognition
2016· 18 cited
Mapping Generative Models onto Networks of Digital Spiking Neurons.
arXiv (Cornell University)·2015Open Access
TrueNorth: Design and Tool Flow of a 65 mW 1 Million Neuron Programmable Neurosynaptic Chip
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems·2015· 1.6k cited
Gibbs sampling with low-power spiking digital neurons
2015· 17 cited
Gibbs Sampling with Low-Power Spiking Digital Neurons
arXiv (Cornell University)·2015· 4 citedOpen Access
Real-Time Scalable Cortical Computing at 46 Giga-Synaptic OPS/Watt with ~100× Speedup in Time-to-Solution and ~100,000× Reduction in Energy-to-Solution
2014· 73 cited
MIEC (mixed-ionic-electronic-conduction)-based access devices for non-volatile crossbar memory arrays
Semiconductor Science and Technology·2014· 54 cited
A million spiking-neuron integrated circuit with a scalable communication network and interface
Science·2014· 4.0k cited
Cognitive computing building block: A versatile and efficient digital neuron model for neurosynaptic cores
2013· 236 cited
Nanoscale electronic synapses using phase change devices
ACM Journal on Emerging Technologies in Computing Systems·2013· 162 cited
Large-scale (512kbit) integration of multilayer-ready access-devices based on mixed-ionic-electronic-conduction (MIEC) at 100% yield
2012· 71 cited
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Frequent Co-authors

Dharmendra S. Modha(14), John V. Arthur(12), Andrew S. Cassidy(12), Paul Merolla(11), Geoffrey W. Burr(10), Rodrigo Alvarez-Icaza(8), Rohit S. Shenoy(8), Kumar Virwani(8), R. M. Shelby(8), Jay T. Groves(8), Jun Sawada(7), Filipp Akopyan(7), Charles Rettner(7), B. N. Kurdi(7), A. J. Kellock(7), Teya Topuria(7), Myron Flickner(6), W. P. Risk(6), Alvaro Padilla(6), Philip M. Rice(6)