神經編碼過程 的英文怎麼說

中文拼音 [shénjīngbiānmǎguòchéng]
神經編碼過程 英文
neural encoding
  • 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...
  • 過 : 過Ⅰ動詞[口語] （超越） go beyond the limit; undue; excessiveⅡ名詞（姓氏） a surname
  • 程 : 名詞1 （規章; 法式） rule; regulation 2 （進度; 程序） order; procedure 3 （路途; 一段路） journe...
  • 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...
  • 過程 : process; procedure; transversion; plication; course
  1. 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。
  2. 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。
  3. 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。
  4. The neural correlations of encoding processes in human memory

    記憶編碼過程的神經機制研究
  5. 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。
  6. The paper presents a modified fuzzy kohonen neural network clustering algorithm fit for image compression, which is applied to codebook generation, theoretic analysis and computer simulation results shows that it can solve some problems which exist in ordinary kohonen self - organizing feature map neural network algorithms and improve encoding quality. the paper also presents a fast correlation - side match algorithm, which is applied to codeword searching for image vector quantization and has a good result

    本文提出一種適用於圖像壓縮的碼書生成演算法? ?改進的模糊kohonen神經網路分類演算法，通過理論分析和計算機模擬，表明該演算法能夠解決普通的kohonen自組織特徵映射神經網路演算法存在的一些問題，且使編碼質量有所改善。文中還提出了快速相關?邊緣匹配演算法，將其應用於圖像矢量量化中的碼字搜索過程，取得了良好的效果。
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