A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications

Biological neural networks continue to inspire new developments in algorithms and microelectronic hardware to solve challenging data processing and classification problems. Here, we survey the history of neural-inspired and neuromorphic computing in order to examine the complex and intertwined traje...

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Veröffentlicht in:	Biologically inspired cognitive architectures 2017-01, Vol.19 (C), p.49-64
Hauptverfasser:	James, Conrad D., Aimone, James B., Miner, Nadine E., Vineyard, Craig M., Rothganger, Fredrick H., Carlson, Kristofor D., Mulder, Samuel A., Draelos, Timothy J., Faust, Aleksandra, Marinella, Matthew J., Naegle, John H., Plimpton, Steven J.
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Data-driven computing Machine learning MATHEMATICS AND COMPUTING Neuromorphic computing Pattern recognition
Online-Zugang:	Volltext
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