生物神經(jīng)元可感知多種外界刺激信號(hào),這些信號(hào)可被轉(zhuǎn)化為等效的電流來(lái)驅(qū)動(dòng)神經(jīng)元。因此,神經(jīng)元的膜電位可通過(guò)外刺激調(diào)控呈現(xiàn)各類(lèi)放電模式。實(shí)際上,可靠的神經(jīng)元模型應(yīng)考慮內(nèi)在的生物物理效應(yīng)以及功能性編碼。一個(gè)重要且有趣的問(wèn)題是弄清外界信號(hào)轉(zhuǎn)錄過(guò)程的物理機(jī)制。外界信號(hào)通常被轉(zhuǎn)化為等效的跨膜電流或信號(hào)源以誘發(fā)動(dòng)作電位。提出一個(gè)光電神經(jīng)元模型以表達(dá)其非線(xiàn)性編碼過(guò)程和外界光信號(hào)驅(qū)動(dòng)神經(jīng)元的電活動(dòng)響應(yīng)。在該模型中,使用一個(gè)光電管激活一個(gè)簡(jiǎn)單的Fitz Hugh-Nagumo（FHN）神經(jīng)元電路,并施加外界光信號(hào)（光照）于光電管產(chǎn)生時(shí)變電流源或電壓源以驅(qū)動(dòng)神經(jīng)元電路。這種光電管耦合的神經(jīng)元電路能探測(cè)和感知外界光信號(hào),其作用類(lèi)似于人工電子眼。通過(guò)分岔詳細(xì)分析神經(jīng)元模態(tài)遷移和放電斑圖特征。通過(guò)調(diào)制神經(jīng)元電路的光電流,神經(jīng)元膜電位序列可呈現(xiàn)靜息態(tài)、尖峰放電、簇放電和混沌特征。這些結(jié)果可為進(jìn)一步研究神經(jīng)動(dòng)力學(xué)和神經(jīng)電路提供參考。 

【文章來(lái)源】：Frontiers of Information Technology & Electronic Engineering. 2020年09期

【文章頁(yè)數(shù)】：11 頁(yè)

【文章目錄】：
1 Introduction
2 Model,scheme,and discussion
3 Conclusions


【參考文獻(xiàn)】：
期刊論文
[1]從物理學(xué)角度認(rèn)知計(jì)算神經(jīng)動(dòng)力學(xué)（英文）[J]. Jun MA,Zhuo-qin YANG,Li-jian YANG,Jun TANG.  Journal of Zhejiang University-Science A（Applied Physics & Engineering）. 2019(09)
[2]Dynamics of a neuron exposed to integer-and fractional-order discontinuous external magnetic flux[J]. Karthikeyan RAJAGOPAL,Fahimeh NAZARIMEHR,Anitha KARTHIKEYAN,Ahmed ALSAEDI,Tasawar HAYAT,Viet-Thanh PHAM.  Frontiers of Information Technology & Electronic Engineering. 2019(04)
[3]Synchronization and wave propagation in neuronal network under field coupling[J]. LV Mi,MA Jun,YAO YuanGen,ALZAHRANI Faris.  Science China（Technological Sciences）. 2019(03)
[4]Noise and delay sustained chimera state in small world neuronal network[J]. TANG Jun,ZHANG Juan,MA Jun,LUO JinMing.  Science China（Technological Sciences）. 2019(07)
[5]A novel spiking neural network of receptive field encoding with groups of neurons decision[J]. Yong-qiang MA,Zi-ru WANG,Si-yu YU,Ba-dong CHEN,Nan-ning ZHENG,Peng-ju REN.  Frontiers of Information Technology & Electronic Engineering. 2018(01)
[6]A novel memristive neural network with hidden attractors and its circuitry implementation[J]. PHAM Viet Thanh,JAFARI Sajad,VAIDYANATHAN Sundarapandian,VOLOS Christos,WANG Xiong.  Science China（Technological Sciences）. 2016(03)



本文編號(hào)：2949799