Neuromorphic Atomic Switch Networks

被引:138
作者
Avizienis, Audrius V. [1 ]
Sillin, Henry O. [1 ]
Martin-Olmos, Cristina [1 ]
Shieh, Hsien Hang [2 ]
Aono, Masakazu [3 ]
Stieg, Adam Z. [2 ,3 ]
Gimzewski, James K. [1 ,2 ,3 ]
机构
[1] Univ Calif Los Angeles, Dept Chem & Biochem, Los Angeles, CA 90024 USA
[2] Univ Calif Los Angeles, Calif NanoSyst Inst, Los Angeles, CA 90024 USA
[3] Natl Inst Mat Sci, World Premier Int Ctr Mat Nanoarchitectond, Tsukuba, Ibaraki, Japan
关键词
OBJECT RECOGNITION; BRAIN NETWORKS; SILVER; DIFFUSION; NANOSTRUCTURES; PLASTICITY; MEMORY; MODEL;
D O I
10.1371/journal.pone.0042772
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Efforts to emulate the formidable information processing capabilities of the brain through neuromorphic engineering have been bolstered by recent progress in the fabrication of nonlinear, nanoscale circuit elements that exhibit synapse-like operational characteristics. However, conventional fabrication techniques are unable to efficiently generate structures with the highly complex interconnectivity found in biological neuronal networks. Here we demonstrate the physical realization of a self-assembled neuromorphic device which implements basic concepts of systems neuroscience through a hardware-based platform comprised of over a billion interconnected atomic-switch inorganic synapses embedded in a complex network of silver nanowires. Observations of network activation and passive harmonic generation demonstrate a collective response to input stimulus in agreement with recent theoretical predictions. Further, emergent behaviors unique to the complex network of atomic switches and akin to brain function are observed, namely spatially distributed memory, recurrent dynamics and the activation of feedforward subnetworks. These devices display the functional characteristics required for implementing unconventional, biologically and neurally inspired computational methodologies in a synthetic experimental system.
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页数:8
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