Emergent dynamics of neuromorphic nanowire networks

被引：103

作者：

Diaz-Alvarez, Adrian ^{[1
]}

Higuchi, Rintaro ^{[1
]}

Sanz-Leon, Paula ^{[2
,3
]}

Marcus, Ido ^{[2
,3
]}

Shingaya, Yoshitaka ^{[1
]}

Stieg, Adam Z. ^{[1
,4
]}

Gimzewski, James K. ^{[1
,4
,5
]}

Kuncic, Zdenka ^{[1
,2
,3
]}

Nakayama, Tomonobu ^{[1
,2
,3
,6
]}

机构：

[1] NIMS, Int Ctr Mat Nanoarchitecton WPI MANA, 1-1 Namiki, Tsukuba, Ibaraki 3050044, Japan

[2] Univ Sydney, Sydney Nano Inst, Sydney, NSW 2006, Australia

[3] Univ Sydney, Sch Phys, Sydney, NSW 2006, Australia

[4] Univ Calif Los Angeles, Calif NanoSyst Inst CNSI, 570 Westwood Plaza, Los Angeles, CA 90095 USA

[5] Univ Calif Los Angeles, Dept Chem & Biochem, 607 Charles E Young Dr East, Los Angeles, CA 90095 USA

[6] Univ Tsukuba, Grad Sch Pure & Appl Sci, 1-1 Namiki, Tsukuba, Ibaraki 3050055, Japan

来源：

SCIENTIFIC REPORTS | 2019年 / 9卷 / 1期

关键词：

BRAIN; CONDUCTIVITY; CRITICALITY; EVOLUTION;

D O I：

10.1038/s41598-019-51330-6

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：

Neuromorphic networks are formed by random self-assembly of silver nanowires. Silver nanowires are coated with a polymer layer after synthesis in which junctions between two nanowires act as resistive switches, often compared with neurosynapses. We analyze the role of single junction switching in the dynamical properties of the neuromorphic network. Network transitions to a high-conductance state under the application of a voltage bias higher than a threshold value. The stability and permanence of this state is studied by shifting the voltage bias in order to activate or deactivate the network. A model of the electrical network with atomic switches reproduces the relation between individual nanowire junctions switching events with current pathway formation or destruction. This relation is further manifested in changes in 1/f power-law scaling of the spectral distribution of current. The current fluctuations involved in this scaling shift are considered to arise from an essential equilibrium between formation, stochastic-mediated breakdown of individual nanowire-nanowire junctions and the onset of different current pathways that optimize power dissipation. This emergent dynamics shown by polymer-coated Ag nanowire networks places this system in the class of optimal transport networks, from which new fundamental parallels with neural dynamics and natural computing problem-solving can be drawn.

引用

页数：13

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