本文選題：隨機匯池網(wǎng)絡 + 平均互信息�。� 參考：《青島大學》2017年碩士論文

【摘要】：本文主要以平均互信息量和刺激特定信息為評價指標,以確定性非周期信號和語音信號為輸入信號,在Gamma噪聲和高斯噪聲存在的環(huán)境下,研究飽和性突觸型模型和積分發(fā)放型模型構成的隨機匯池網(wǎng)絡的信號傳輸功能。在飽和型突觸神經(jīng)的隨機匯池網(wǎng)絡中,把非周期信號作為輸入的信號,用Gamma噪聲模擬神經(jīng)元細胞群體的內部噪聲,把平均互信息以及刺激特定信息作為衡量指標,分別對興奮性突觸神經(jīng)元構成的同質類隨機匯池網(wǎng)絡,以及興奮性突觸神經(jīng)元與抑制性突觸神經(jīng)元共同構成的異質類隨機匯池網(wǎng)絡的隨機共振現(xiàn)象進行了深入的研究,分析了網(wǎng)絡內部的多種噪聲源給平均互信息與刺激特定信息帶來的變化;在積分發(fā)放神經(jīng)隨機匯池網(wǎng)絡中,采用語音信號作為輸入信號,內部噪聲為Gamma噪聲和高斯噪聲這兩種噪聲,同樣地,利用平均互信息和刺激特定信息評價,觀察在積分發(fā)放神經(jīng)隨機匯池網(wǎng)絡中的隨機共振現(xiàn)象,分析改變噪聲強度、積分發(fā)放神經(jīng)元并聯(lián)數(shù)目使隨機匯池網(wǎng)絡產(chǎn)生的信號傳遞效果;最后數(shù)值模擬結果表明,噪聲可以增強隨機匯池網(wǎng)絡中的輸入信號與輸出信號的平均互信息,而刺激特定信息量可以更加詳細地呈現(xiàn)出輸入信號中各個分量編碼的功效和神經(jīng)元內部的噪聲可利用性。本課題的研究結論具有十分積極的影響,尤其對于今后處理神經(jīng)系統(tǒng)的信息具有一定的價值。
[Abstract]:In this paper, the average mutual information and specific stimulus information are taken as evaluation indexes, deterministic aperiodic signals and speech signals are used as input signals, and in the presence of Gamma noise and Gao Si noise, The signal transmission function of a random sink network composed of a saturated synaptic model and an integral distribution model is studied. In the random pool network of saturated synaptic nerve, the aperiodic signal is used as the input signal, the Gamma noise is used to simulate the internal noise of the neuronal cell population, and the average mutual information and the specific stimulation information are used as the measurement index. The Stochastic Resonance (SR) phenomena of the homogeneous random pool network formed by excitatory synaptic neurons and the heterogeneous random sink networks composed of excitatory synaptic neurons and inhibitory synaptic neurons were studied. The variation of average mutual information and stimulation specific information caused by various noise sources in the network is analyzed, and the speech signal is used as the input signal in the integral-distributed neural random sink network. The internal noise is Gamma noise and Gao Si noise. In the same way, using the mean mutual information and stimulating specific information evaluation, the stochastic resonance phenomenon in the integrated distributed neural stochastic sink network is observed, and the noise intensity is analyzed. The results of numerical simulation show that the noise can enhance the average mutual information between the input and output signals in the random sink network. Stimulation of specific amount of information can show in more detail the efficiency of each component of the input signal coding and the availability of noise inside the neuron. The conclusion of this study has a very positive effect, especially for the future processing of nervous system information.
【學位授予單位】：青島大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：R338

【參考文獻】

相關期刊論文 前5條

1 王金光;;突觸信號傳導的動態(tài)飽和模型研究[J];復雜系統(tǒng)與復雜性科學;2013年02期

2 王志謙;張家娟;單小磊;馮長先;;Hindmash-Rose神經(jīng)元模型放電序列的分岔分析[J];蘭州交通大學學報;2012年06期

3 焦賢發(fā);王俊琦;王如彬;;突觸噪聲作用下的IF閾值神經(jīng)元模型的隨機共振[J];動力學與控制學報;2010年03期

4 張莉;馮大政;;指數(shù)衰減閾值對IF神經(jīng)元點火統(tǒng)計特性的影響[J];信息與控制;2010年03期

5 王青云,陸啟韶;噪聲在慢變系統(tǒng)中的隨機Chay神經(jīng)元模型的自共振[J];動力學與控制學報;2004年03期

相關博士學位論文 前1條

1 常文利;復雜網(wǎng)絡上神經(jīng)元系統(tǒng)對刺激的響應[D];蘭州大學;2007年

相關碩士學位論文 前3條

1 朱夢婷;神經(jīng)元集群自持續(xù)放電活動的仿真模型[D];南昌大學;2015年

2 劉杰;增強人體感覺功能的刺激系統(tǒng)的開發(fā)及應用研究[D];浙江大學;2010年

3 韓曉鵬;神經(jīng)系統(tǒng)中隨機共振現(xiàn)象研究[D];浙江大學;2005年

，

本文編號：1884699