San Francisco / Santa Clara / Bangalore / San Jose / /
Company
IBM / BP / Intel Corporation / Ibp / Depth Inc. / Xilinx / Neurogrid / /
Country
United States / India / / /
EntertainmentAwardEvent
Director’s Pioneer Award / /
Event
FDA Phase / /
Facility
Stanford University / /
IndustryTerm
hexagonal resistive network / neuromorphic tree network / energy ðEÞ / spike-routing networks / neural networks / real time / tree network / software simulations / biological neural systems / neuromorphic systems / electronic systems / energy / metal / maximized energy efficiency / software stack / energy consumption / neural network / systems / resistive network / interconnection networks / biological real-time simulations / computing / connected network / neural network hardware / static energy / waste hardware / /
OperatingSystem
L3 / /
Organization
SAH / SDH / Department of Bioengineering / Stanford University / US Federal Reserve / FDA / University of Manchester SpiNNaker / SAD / Department of Electrical Engineering / /
Person
Spike / Kwabena Boahen / Jean-Marie Bussat / Rodrigo Alvarez-Icaza / Emmett McQuinn / IEEE ABSTRACT / Gleak / Paul A. Merolla / John V. Arthur / Ben Varkey Benjamin / Anand R. Chandrasekaran / /
Position
driver / conductor / Health Director / Filter Manager / model description / /
INVITED PAPER Neurogrid: A Mixed-Analog-Digital Multichip System for Large-Scale