On the Learning of Stochastic Networks of Organic Memristive Devices

被引：0
作者：
Erokhin, Victor [1 ,2 ]
机构：
[1] CNR IMEM, I-43124 Parma, Italy
[2] Univ Parma, I-43124 Parma, Italy
来源：
INTERNATIONAL JOURNAL OF UNCONVENTIONAL COMPUTING | 2013年 / 9卷 / 3-4期
关键词：
Stochastic networks; Learning; Memristive devices; Synapse analogs; POLYANILINE; POLYMER;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Qualitative illustration of the difference between "adult" and "baby" learning, previously observed for stochastic 3D networks of matrices of block co-polymers, conducting polymers and gold nanoparticles, is presented. The model assumes the formation of stable multi-pathway channels in the case of "baby" learning and dynamic equilibrium of single signal pathways in the case of "adult" learning.
引用
收藏
页码：303 / 310
页数：8
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