神經編碼 的英文怎麼說

中文拼音 [shénjīngbiānmǎ]
神經編碼 英文
neural coding
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 編 : Ⅰ動詞1 （編織） weave; plait; braid 2 （組織; 排列） make a list; arrange in a list; organize; gr...
  • 碼 : Ⅰ名詞（表示數目的符號或用具） a sign or object indicating number; code Ⅱ量詞1 （指一件事或一類的...
  • 神經 : nerve; nervus
  • 編碼 : encoded; code; coded; encrypt; codogram; coding編碼表 encode table; 編碼程序 builder; 編碼尺 code...
  1. Spatiotemporal coding in fitzhugh - nagumo neural network with time delay

    神經網路的時空編碼
  2. It showed that activated inhibition by weak noise could be gabaergic inhibition. from above the findings, we could give a hypothesis that the input of random oscillation induced by noise in the cochlea to central auditory system could be integrated in the central auditory nucleus and the response of sound - sensitive neuron to sound stimuli could be adjusted to an optimum state for signal intensity coding

    根據這些變化可以推測，這種背景噪聲的生物學作用可能是通過弱噪聲所引起的耳蝸隨機共振的輸入，在上行過程中經各級聽覺核團的整合，將中樞聲敏感神經元調定在一種準備狀態，並定型放電率函數和調制神經元對聲馨碩士學位論文master 』 st砰iesis強的編碼。
  3. The diversity of the acoustic response of a - i neurons and the correlation of their response patterns with the parameters of the pure tone, indicate the complexity of their encoding auditory information

    皮層a區神經元聲反應型式的多樣性以及聲反應與聲刺激參數的相關性，反映了a區神經元聽覺信息編碼的復雜性。
  4. Two new speech detection methods based on neural networks using barker coded synchronization signal are presented

    提出了兩種採用巴克碼編碼同步信號並基於神經網路的起點檢測新方法。
  5. The algorithm can not only eliminate the influence of the cumulative errors of the photoelectric code recorder, but also it can satisfy the requirement of the real - time control. a direct inverse model controller of fuzzy neural network with changeable structure based on takagi - sugeno inference is presented and it is used to the motion control of mobile robot. in order to avoid the obstacles successfully, detection results from ccd and ultrasonic sensors are fused by a fuzzy neural network, which acts as an avoidance controller

    包括移動機器人的融合自定位問題：移動機器人利用光電編碼器進行自定位，同時用擴展卡爾曼濾波器融合多個超聲波傳感器的測量值，採用回朔演算法將融合值用於復位光電編碼器，消除了光電編碼器累積誤差的影響，並能滿足實時控制的要求：並提出一種基於takagi - sugeno模型的變結構模糊神經網路直接逆模型控制器，並應用於移動機器人的運動控制；利用模糊神經網路避障控制器融合ccd攝象機與超聲波傳感器探測到的環境信息，以實現機器人的安全避障。
  6. Time series of discharge in neurons, that is, interspike interval ( is i ) series of action potential is considered to contain plenty of sensory information. however, there is little understanding of basic type and generating mechanism of this time coding because of the complexity of isi series

    神經元放電的時間序列，即動作電位的峰峰間期（ interspikeinterval ， isi ）序列被認為蘊含豐富的神經信息，但是由於isi序列的復雜多變，至今對這種時間編碼的基本型式及其發生機制了解很少。
  7. Application of neural network for binary - coded sidelobe suppression

    神經網路在二相編碼信號旁瓣抑制中應用
  8. Bottom - up processing and feature detecting theory based on strong electrophysiological evidences has played a dominant role in the visual research for long time. people know top - down processing just by common sense. knowledge or experience are recalled from memory by reactivation of their neural representations and affected visual processes. however recently, researches from human and monkey provide experimental evidences for top - down processing. first, mnemonic representation of visual objects and faces, located in the ventral processing stream of visual perception in monkey, provide the best evidences of how neuronal codes are created by neurons that have the special ability to link the representations of temporally associated stimuli ; second, experiments suggest that not only bottom - up signals from the retina but also top - down signals from the prefrontal cortex can trigger the retrieval of associative codes, which may serve as a neural basis both for the conscious recall and for the visual processes affected by top - down processing further studies will improve people s understanding of the causal relation of activation and behavior by use of combined fmri and electrophysiology or lesion studies

    聯想性編碼是通過學習由一些具有特殊功能的神經元建立的，這些神經元具有將時間性關聯刺激的表徵聯系起來的能力。其次，不僅來自視網膜的底-頂信號，而且來自前額葉的頂底信號都能觸發聯想性編碼的提取，既可以作為有意識回憶的神經基礎，又是頂-底加工影響視覺過程的基礎。腦損傷病人研究具有高時間解析度的人類功能性核磁共振成像functional magnetic resonance imaging ， fmri和猴fmri研究以及猴細胞電生理分析相結合，將進一步加強人們對視覺腦機制的全面理解。
  9. In the paper, chapter 1 gives a comprehensive introduction of digital image compressing including its recent status, technical standards, classification in the world. chapter 2 introduces briefly the thought and ii procedure of vector quantization, describes lgb algorithm and vector quantization based on sofm neural network. chapter 3 discusses predictable coding in lossy and lossless aspects, analyzes adaptive predictable coding based on bp neural network, introduces the evaluation of algorithm on neural network in image compression. chapter 4 discusses the applications of mathematical transformation in image compression and does experiments related, analyzes the strategies of image coding in transformed domain. in chapter 5 images are decomposed and represented by wavelet transform, then discusses the characteristics and effects of wavelet functions in image compression, analyzes the wavelet coefficients after images are decomposed ; based on the theories and analyses in the prior chapters, the paper presents an image compression scheme and gives results. the test results shows that the image compression scheme is practical and helpful to map into the local content of images to get rid off redundancy, so that, it can require satisfactory results of image compression

    方案首先利用小波多分辨分析性質，對圖像進行小波分解，對分解后各子圖的小波系數進行了統計分析，針對各子圖的小波系數特點，對不同的子圖分別採用不同的壓縮方法，低頻子圖採用基於神經網路的自適應預測編碼，高頻子圖採用基於神經網路的矢量量化編碼，從而實現對圖像數據的壓縮處理。本論文第一章介紹了數字圖像壓縮處理的國內外當前的概況以及其技術標準和分類。在第二章，介紹了數字圖像的矢量量化技術的數學思想和過程，對lbg演算法和基於sofm神經網路的矢量量化進行了闡述、分析。
  10. Image code is a developing field on image compress and a lot of methods on that has now generated, such as statistic code, predict code, transform code, subband code, model code, wavelet transform code, vector quantization code, neural networks code, fractal code etc. in this thesis, we mainly describe our work on vector quantization code and wavelet transform code on image compress

    常見的圖像壓縮編碼方法有：統計編碼，預測編碼，變換編碼，子帶編碼，模型基編碼，小波變換編碼，矢量量化編碼，神經網路編碼，分形編碼等。本文以矢量量化壓縮編碼和小波變換壓縮編碼這兩種圖像壓縮編碼方法為主要研究對象。
  11. Image code is a developing field on image compression and a lot of methods on that has now generated, such as predict code, transform code, statistic code, subband code, fractal code, model code, vector quantization code, neural networks code, wavelet transform code, etc. in this paper, we set focus on the wavelet transform code

    常見的主要編碼方法有預測編碼，變換編碼，統計編碼，子帶編碼，分形編碼、模型編碼、矢量量化編碼，神經網路編碼，小波變換編碼等等。本文主要研究基於小波變換的圖像編碼方法。
  12. Neural networks are used more frequently in lossy data coding than in general lossless data coding, because standard neural networks must be trained off - line and they are too slow to be practical. in this thesis, statistical language model based on maximum entropy and neural networks are discussed particularly. then, an arithmetic coding algorithm based on maximum entropy and neural networks are proposed in this thesis

    傳統的人工神經網路數據編碼演算法需要離線訓練且編碼速度慢，因此通常多用於專用有損編碼領域如聲音、圖像編碼等，在無損數據編碼領域應用較少，針對這種現狀，本文詳細地研究了最大熵統計語言模型和神經網路演算法各自的特點，在此基礎上提出了一種基於神經網路和最大熵原理的算術編碼方法，這是一種自適應的可在線學習的演算法，並具有精簡的網路結構。
  13. The neural correlations of encoding processes in human memory

    記憶編碼過程的神經機制研究
  14. Description : this neurophone incorporates an electronic circuit duplicating the encoding of the cochlea and 8th cranial nerve themselves

    描述：這個腦聽器包含了一個電子電路復制他們自己的耳蝸的編碼，第8腦神經。
  15. In the constructing of the diagnosis module using the technology of the combination of the fuzzy logic and neural network, which based on the fuzzy adaptive learning control network, a simple kind of capable method for consummate the structure and performance of network is introduced, which includes the rules extraction based on the maximum weights matrix and the parameters amendment based on genetic algorithm by floating - point coding. during the monitoring of the parts condition, the output of the condition monitoring system shows the good working condition of the executing agency by fuzzily deducing from the control instruction send by the auv ' s controller and motion status, and so offers the proof to complete mission and return safely

    在珍斷模塊建模中採用模糊邏輯與神經網路結合的技術，以模糊自適應學習控制網路為核心，提出了一種簡單可行的基於最大權值矩陣的規則提取及基於浮點數編碼的遺傳演算法的參數調整的，完善網路結構與性能的方法，並在狀態監測過程中，通過對由控制器輸入的水下機器人運動控制量以及運行狀態的模糊推理，得到執行部件（推進器或舵）的工作狀態優劣程度，為保證水下機器人完成任務，安全返回提供控制依據。
  16. For a more relevant test of psyco, i dug up some neural network code that i had written about in an earlier article see resources

    為進行更恰當的psyco測試，我搜尋出我在以前的文章里編寫的一些神經網路代碼（請參閱「參考資料」 ） 。
  17. According to the standard of kddcup ' 99 and by adopting numeric mixed coding, 41 features of the captured network packets are extracted and transferred into numerical form which can be accepted by neural network in this paper, we present a misuse detection model based on hybrid neural network and decision tree

    根據第三屆國際知識發現和數據挖掘競賽（ kddcup ' 99 ）標準，對截獲的網路數據包進行41維特徵抽取，並採用混合數值編碼方法，使這些特徵轉化為能被神經網路處理的數值形式。
  18. Firstly, a new joint filterbank precoders and decision feedback equalizers structure is proposed, and the corresponding optimization result based on the maximal mutual information criterion is derived. secondly, the concept of dt canonical model is proposed, which is very suitable for the task of blind signal processing based on the second - order statistical of the observations. thirdly, the methods of blind equalization and identification of the tv dispersive channels are researched systematically based on the proposed dt canonical model, and a subspace blind identification algorithm of the time - invariant channel matrix is developed

    本文創新性的成果在於：提出了預編碼-判決反饋聯合均衡系統結構，並從理論推導得出了對應的最大互信息量最優化設計結果；首次提出了時變色散通道的離散正則模型概念，該模型適宜於利用觀察數據的二階統計量進行盲信號處理；基於離散正則模型對時變色散通道進行了系統的盲均衡和盲辨識方法研究，提出了對時不變通道矩陣的子空間盲辨識演算法；針對誤差傳播效應問題，提出了可以消除誤差傳播效應的兩級盲辨識演算法；提出了基於離散正則模型的直接盲均衡演算法；提出了基於特徵恢復思想的神經網路直接自適應盲均衡演算法。
  19. In other words, they are encoded in the way that the nerve cells which make up the brain are connected to one another

    換句話說，這些記憶是以大腦中的神經細胞間通訊所用的編碼方式編碼的。
  20. Examples of neural coding. simple linear regression

    神經編碼的例子與簡單的線性?歸。
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