連接神經元 的英文怎麼說

中文拼音 [liánjiēshénjīngyuán]
連接神經元 英文
connecting neuron
  • : Ⅰ動詞1 (連接) link; join; connect 2 (連累) involve (in trouble); implicate 3 [方言] (縫) ...
  • : Ⅰ動詞1 (靠近;接觸) come into contact with; come close to 2 (連接; 使連接) connect; join; put ...
  • : Ⅰ名詞1 (神靈) god; deity; divinity 2 (精神; 精力) spirit; mind 3 (神氣; 神情) expression; l...
  • : 經動詞[紡織] (把紡好的紗或線梳整成經紗或經線) warp
  • 連接 : connect; fit together; link; marry; mate; joint; association trail; linkage; concatenate; concate...
  • 神經 : nerve; nervus
  1. Not only the neurons but also the as in the rat brain play a very important role in the process of the peripheral nociceptive stimulation ; ? he newly - found eda may be the functional intercommunication ultrastructure between neurons and as, through which the as could modulate the neurons in the pain signal processing ; @ as might play an active and important role for modulation of pain through a new pathway from the peripheral afferent nerve to the as, then to neurons via electron - dense areas forming the glia - neuron s ignaling network

    光、電鏡水平發現as與之間有多種途徑進行信息交流,新發現的eda有可能是與as之間信息交流的結構之一。阻斷as與間信息交流后,前者對外周組織4第四軍醫大學博士學位論文損傷所致疼痛的反應不受影響,而後者的反應明顯受到抑制,提示在非病理性疼痛反應中,膠質細胞對具有主動調控作用。
  2. Building the brain ' s neural network ? a trillion ( 1012 ) neurons connected by 10 quadrillion ( 1016 ) synapses ? is a daunting task

    建構腦的網路是項驚人的任務: 1016個突觸,是由1012個而成的。
  3. My knowledge, skills and memories are embedded in a vast pattern of neurotransmitter concentrations and interneuronal connections and cannot be quickly accessed or transmitted

    我的知識、技能和記憶根植在由遞質集中和間的組成的寬廣支架上,不能夠被迅速取得或傳送。
  4. Hi the aspect of symmetry analyzing to the hopfield model neural network with hebbian learning, we study on the dynamical behavior of the state space under the action of isometric transformation group g = z2 ? n, and prove the invariant property of the energy orientation ? / / " ) of the state space under the action of g. we find that the symmetry relationship of the network is sx - sw = sh when the active function of the neuron is odd, where sx is the symmetry of the patterns set x under hebbian learning rule, sh is the symmetry of the network and sw is the symmetry of the weight matrix w of the network

    ) s _ n為手段,研究了網路狀態空間在群g作用下各點的運動情況,證明了群g作用下的不變性。證明了當的激活函數f為奇函數時, hebb法則下存儲樣本集x的對稱性s _ x 、網路對稱性s _ h以及矩陣對稱性s _ w三者之間滿足s _ x = s _ w = s _ h的關系;同時,我們還證明了:網路穩定態集vf同一s _ h軌道中的兩個穩定態的動力學行為(能量和吸引域大小)相同;兩個等距網路h和h 1 = g ? h , ( ? ) g (
  5. Before the bp neural net forecast fire size class, it needs a process of studying from sample data. the neural net adjusts the weight value and threshold value according to the sample so as to give the linking weight value and threshold to low the difference between output from itself and the expected value

    Bp網路在應用於預測預報之前,需要一個網路學習過程,網路根據輸入的訓練(學習)樣本進行自適應、自組織,確定各權w和閾值。
  6. By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model

    通過這種網路能夠實現任意的非線性輸入輸出映射關系,具體的映射關系體現在構成網路的之間的分佈權上,由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力,它不僅可以替代許多復雜耗時的傳統演算法,並且由於它對信息的處理更加近於人的思維活動習慣,為解決非線性系統模擬和未知模型的預測提供了新途徑。
  7. The human nose uses a complex system of interconnected receptors and neurons, which conduct signals to the brain for interpretation

    人的鼻子使用一個受器和相互的復雜系統,這個系統將信號傳導到大腦進行解釋。
  8. To solve these problems respectively, the color space transformation and bp neural network are firstly used to realize the classification and threshold processing of images. then the images processing including thinning, interval linking, code word chaining, seed filling, boundary fitting is performed well by some methods in mathematical morphology and computer graphics and interpolation in numerical value analysis

    為了逐一解決這些困難,運用了色彩空間變換以及bp網路的方法對圖像進行分類和閾值處理,利用數學形態學和計算機圖形學以及數值分析中的插值等方法對圖像進行了細化、間隙、鏈碼、種子填充、邊界擬合等處理。
  9. We then present our mathematicaj model of nest building using randomlyconnected neural network

    然後提出我們用隨機網路描述的昆蟲築巢的數學模型。
  10. Firstly, the paper, combining the characteristic of synchronous pulse bursts and inhibition with the modified pcnn model, presents a way of finding the foveation points in the images adaptively and effectively, and simulates the human vision system. secondly, pcnn is extended to pcnns, based on the properties of information couple and transmission, an algorithm that is used to fuse images of the same target got by several sensors to an image is presented to simulate the human vision system. thirdly, combining the properties of synchronous pulse bursts, capture, and transmission and competition of waves, the paper presents two ways of classification, one is an algorithm based on the properties of neuron to capture and inhibit to classify the data taking on any complex unlinear distribution robustly, the other is based on the restricted distance and modified of the former to remove the influence of inferior samples in classification ; fin ally, based on the accumulative difference pictures, and the forming and transmission of pcnn wave, selecting and controlling the direction of autowave by connecting the neighbouring neurons selectively, the paper presents a way to simulate the tracks of moving object and detect the moving direction

    首先結合pcnn的同步脈沖發放和側抑制特性,提出了基於改進型pcnn的圖像凹點檢測演算法,該演算法是一種自適應而有效的圖像凹點檢測方法,並且較好地模擬了人類視覺系統;然後,結合信息傳遞和信息耦合特性,將pcnn擴展成pcnns ( pcnn網路群) ,提出了一種基於pcnns的圖像融合演算法,能夠將多個傳感器獲取的同一目標的圖像信息融合到一幅圖像中,有效模擬了人類視覺系統;另外,結合pcnn的同步脈沖發放特性、捕獲特性和波的傳播競爭特性,開拓地將pcnn用於模式分類中,提出了基於耦合點火捕獲抑制特性的分類方法和改進的約束距離下的pcnn分類方法,前者可實現對樣本空間中任意復雜分佈訓練樣本的穩健非線性分類,而後者能夠消除訓練樣本中刺點對分類的影響;最後,結合累積差分圖像思想、 pcnn波的形成與傳播特性,通過各之間取向來選擇與控制自動波的流向,將pcnn用於運動視覺分析中的運動軌跡模擬及運動方向檢測。
  11. Signal layer represent links between the nerve cells, knowledge layer represent rules and reasoning of expert, conception layer is the medium layer and connect signal layer and knowledge layer, therefore integrated symbol computing ability of es with link features of ann into one body to make brain model more intelligent

    刺激層體現,知識層體現專家的規則、推理,從而將專家系統的符號計算和網路的主義兩者有機的結合,並在其基礎上構建了形體的表徵模型、推理方法,實現了形態構成知識的產生,為人腦模型的「智能」能力的實現和應用奠定了基礎。
  12. A neuron is like a microprocessor chip in that it receives thousands of signals through its dendrites and constantly integrates all the input it receives from these connections

    從樹突收到的訊號可是成千上萬,像個微處理器晶片,隨時都在整合來自這些線的所有輸入訊號。
  13. We injected carbennoxolone, a gap junction blocker, into the lateral ventricle, which was followed by hyperosmotic stimulation, the immunohistochemical staining of neurons and astrocytes and vp content in plasm were studied. western blot was performed to detect the content of cx43 and cx32 in son following hyperosmotic stimulation

    側腦室注射縫隙阻斷劑甘珀酸( carbenoxolone , cbx )后,再給予高第四軍醫大學博士學位論文滲刺激,觀察視上核膠質細胞和免疫組化反應的改變,並檢測血漿vp含量的變化。
  14. By simulating a network of interconnected brain cells in which each connection changed oer time in response to stimuli, they were able to show that the network could tell time

    通過刺激相互聯結的大腦的網路系統,網路中的每個對刺激發生反應,表明大腦細胞網路可以計算時間。
  15. By simulating a network of interconnected brain cells in which each connection changed over time in response to stimuli, they were able to show that the network could tell time

    通過刺激相互聯結的大腦的網路系統,網路中的每個對刺激發生反應,表明大腦細胞網路可以計算時間。
  16. The cortical oscillators connect to the striatum via millions of signal - carrying arms, so the striatal spiny neurons can eavesdrop on all those haphazard “ conversations. ” then something ? a yellow traffic light, say ? gets the cortical cells ' attention

    這些皮質振?器由上百萬個傳送訊息的手臂與紋狀體,使得紋狀體的棘可以偷聽到所有這些隨意的交談。
  17. In terms of our results, it is hypothesized that in the central auditory system when the sound information is conducting through continuous synaptic clefts, there are interactions and integrations occurring between the ascending and corticofugal descending pathways with neural inhibition or facilitation so as to realize the neural integration that diverging or converging sound information with new forms, which ensures the neurons tune the sound information with biological significance

    據此推測,當的信號在不同聽中樞結構中通過續的突觸時,上行性或離皮層下行性抑制或易化通路之間在不斷地發生相互作用與整合,從而使得聲信息以新的方式分散或聚合,實現新的整合過程,以保證調諧有生物學意義的聲信號。
  18. Artificial neural network ( ann ) is a information processing system which is composed of a number of nonlinear computational elements which operate in parallel and are arranged in a manner reminiscent of biological neural interconnection

    人工網路( ann : artificialneuralnetwork )是一種信號處理系統,它是由許多的具有非線性計算能力的計算單模仿生物系統方式而成,以并行方式運作。
  19. These are the key technologies of srfcs. so, there is far trying in reconstruction field. artificial neural network ( ann ) is a information processing system which is composed of a number of nonlinear computational elements which operate in parallel and are arranged in a manner reminiscent of biological neural interconnection

    人工網路( ann : artificialneuralnetwork )是一種自適應信號處理系統,它是一個具有高度非線性的超大規模續時間的動力系統,它由許多的具有非線性計算能力的計算單模仿生物系統方式而成,以并行方式運作。
  20. One theory says that behaviors are organized in systems called command centers ? groups of interconnected neurons ( neural networks ) which turn behaviors on and off on a rapidly, e. g., the choice to fight or flee, or go get a drink of water

    一個理論認為行為在一個稱為指揮中心的系統里組織- -許多相互網路)迅速決定做出行為與否(例如選擇戰斗或者逃離,或者去找些水喝)的決定。
分享友人