Edge detection and graph coloring by network of oscillatory neuromorphic devices comprising silicon nanosheet-gated diodes  

作　　者：Yunwoo Shin Hyojoo Heo Kyoungah Cho Sangsig Kim 

机构地区：[1]Department of Electrical Engineering,Korea University,145 Anam-ro,Seongbuk-gu,Seoul 02841,Republic of Korea

出　　处：《Nano Research》2025年第3期519-526,共8页纳米研究(英文版)

基　　金：partly supported by a National Research Foundation of Korea(NRF)grant funded by the Korean government(Nos.2022M3I7A3046571 and 2023RS00260876);the Brain Korea 21 Plus Project through the NRF funded by the Ministry of Science,ICT and Future Planning,Samsung Electronics(No.IO201223-08257-01);a Korea University Grant.

摘　　要：Oscillatory neural networks(ONNs)can handle image processing and combinational optimization problems with high biological plausibility.Coupled oscillators in ONNs mimic the neuronal oscillations and communication in the human brain.In this study,we demonstrate edge detection and graph coloring using a network of oscillatory neuromorphic devices comprising silicon nanosheet(NS)-gated diodes and series resistors.Silicon NS-gated diodes modulate the energy band structure in the channel through electrostatic doping,which tunes the amplitude and frequency of the oscillatory neuromorphic devices.Coupled oscillatory neuromorphic devices with capacitors can be in-or out-of-phase,enabling edge detection.Horizontal and vertical edge detections were performed using the coupling configuration.Furthermore,an ONN using oscillatory neuromorphic devices with resistive and capacitive couplings can solve graph coloring problems by representing the coloring solutions as phase differences.This study provides a method for achieving a compact silicon-based ONN that acts as a solver machine,as well as an image processor.

关 键 词：oscillatory neural network silicon nanosheet-gated diode positive feedback loop mechanism edge detection graph coloring 

分 类 号：O15[理学—数学]