Paper Info
Title
Braindrop: A Mixed-Signal Neuromorphic Architecture With a Dynamical Systems-Based Programming Model.
Abstract
Braindrop is the first neuromorphic system designed to be programmed at a high level of abstraction. Previous neuromorphic systems were programmed at the neurosynaptic level and required expert knowledge of the hardware to use. In stark contrast, Braindrop's computations are specified as coupled nonlinear dynamical systems and synthesized to the hardware by an automated procedure. This procedure n...
Year
DOI
Venue
2019
10.1109/JPROC.2018.2881432
Proceedings of the IEEE
Keywords
DocType
Volume
Neurons,Neuromorphics,Brain models,Encoding,Decoding,Computer architecture,Analog circuits,Artificial neural networks
Journal
107
Issue
ISSN
Citations 
1
0018-9219
11
PageRank 
References 
Authors
0.78
0
9
Name
Order
Citations
PageRank
Alexander Neckar1402.58
Sam Fok2251.82
Ben Varkey Benjamin32017.40
Terry Stewart425636.25
Nick N. Oza5110.78
Aaron Russell Voelker6616.92
Chris Eliasmith747567.16
Rajit Manohar8103896.72
K Boahen91188160.52