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Neuromorphic hardware: The investiga...

Sillin, Henry Outhwaite.

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Neuromorphic hardware: The investigation of atomic switch networks as complex physical systems.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Neuromorphic hardware: The investigation of atomic switch networks as complex physical systems./
Author:	Sillin, Henry Outhwaite.
Description:	174 p.
Notes:	Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.
Contained By:	Dissertation Abstracts International76-05B(E).
Subject:	Biochemistry. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3671042
ISBN:	9781321481150

Neuromorphic hardware: The investigation of atomic switch networks as complex physical systems.
Sillin, Henry Outhwaite.

Neuromorphic hardware: The investigation of atomic switch networks as complex physical systems. - 174 p.

Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.

Thesis (Ph.D.)--University of California, Los Angeles, 2015.

The emergent dynamical behaviors of biological neuronal networks and other natural, complex systems point towards new computing paradigms which can overcome limitations of digital computers. This work catalogues the development and characterization of an electronic circuit purpose built to exhibit emergent behaviors intended for use in neuromorphic computation. These circuits, atomic switch networks (ASNs), are fabricated through a self-assembly process that yields a highly interconnected network of silver nanowires with embedded inorganic synapses known as atomic switches. When stimulated with external bias voltage, ASNs are shown to possess the synaptic and memory properties of individual atomic switches, as well as network-specific behavior consisting of distributed, system wide switching events. These emergent behaviors exhibit striking similarity to those observed in many natural systems, including biological neural networks. Experiment and numerical simulations have provided proof of principle that ASNs are complex systems whose emergent behaviors may be used in implementations of neuromorphic computing paradigms such as reservoir computing. Furthermore, they demonstrate the utility of ASNs as a uniquely scalable physical platform useful for exploring complexity, neuroscience, and engineering.

ISBN: 9781321481150Subjects--Topical Terms:

518028
Biochemistry.

Neuromorphic hardware: The investigation of atomic switch networks as complex physical systems.
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100 1 $a Sillin, Henry Outhwaite. $3 3192880
245 1 0 $a Neuromorphic hardware: The investigation of atomic switch networks as complex physical systems.
300 $a 174 p.
500 $a Source: Dissertation Abstracts International, Volume: 76-05(E), Section: B.
500 $a Adviser: James K. Gimzewski.
502 $a Thesis (Ph.D.)--University of California, Los Angeles, 2015.
520 $a The emergent dynamical behaviors of biological neuronal networks and other natural, complex systems point towards new computing paradigms which can overcome limitations of digital computers. This work catalogues the development and characterization of an electronic circuit purpose built to exhibit emergent behaviors intended for use in neuromorphic computation. These circuits, atomic switch networks (ASNs), are fabricated through a self-assembly process that yields a highly interconnected network of silver nanowires with embedded inorganic synapses known as atomic switches. When stimulated with external bias voltage, ASNs are shown to possess the synaptic and memory properties of individual atomic switches, as well as network-specific behavior consisting of distributed, system wide switching events. These emergent behaviors exhibit striking similarity to those observed in many natural systems, including biological neural networks. Experiment and numerical simulations have provided proof of principle that ASNs are complex systems whose emergent behaviors may be used in implementations of neuromorphic computing paradigms such as reservoir computing. Furthermore, they demonstrate the utility of ASNs as a uniquely scalable physical platform useful for exploring complexity, neuroscience, and engineering.
590 $a School code: 0031.
650 4 $a Biochemistry. $3 518028
650 4 $a Physical chemistry. $3 1981412
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690 $a 0494
710 2 $a University of California, Los Angeles. $b Chemistry. $3 2104984
773 0 $t Dissertation Abstracts International $g 76-05B(E).
790 $a 0031
791 $a Ph.D.
792 $a 2015
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3671042