在早期的研究中，他们看到大脑的各部分神经活动和所看到事物的形状有关。
As in the earlier study, they looked at parts of the brain linked to the shape of objects.
这些大型神经元以它们的形状而被命名，它们存在于人类的大脑中被认为是负责社交组织、同情和其他关于其他人的直觉感受。
These large neurons, named for their shape, occur in parts of the human brain thought to be responsible for social organization, empathy, and intuitions about the feelings of others.
而最新的显微技术显示，神经元的形状也会随不同的体验而变化---可能在进行记忆功能。
The newest microscope techniques reveal neurons changing shape in response to experience—potentially recording a memory.
创造者神经系统称其“4D裙子”，因为像织物一样，这件打印的衣服可以从一件被压扁的物件展开成你想要的形状。
Creators Nervous Systemcall it a '4d dress' as, like fabric, the printed garment can go from a compressed object to its intended shape.
利用光学衍射原理，研制成了光纤光栅衍射屏，并与计算机神经网络相结合，开发了一种识别立体形状的视觉系统。
An optic fiber grating diffraction screen is developed by use of optical diffraction. Combining with computer neural network, a vision system for recognizing stereo shape is developed.
前一种方法是在去除目标影子的前提下，提取运动目标整体形状的不变矩特征，然后利用BP人工神经网络进行目标的识别。
The former first eliminate the shadow of moving objects, and then extract shape invariant moment characteristics of object's whole region and identify them by a BP neural network.
首次将参考形状分析法用于果形判别，利用人工神经网络对果形进行识别和分级。
Based on overall analysis of apple shape, originally, the reference shape method was used in apple shape feature extraction.
介绍了近年来国内外人工神经网络技术应用于焊缝形状预测的研究现状，并指出了今后的发展趋势。
This paper introduces the situation of prediction of seam shape using artificial neural network technology at home and abroad in recent year. The future trend of development is also presented.
这种模糊神经网络利用了小波基函数作为隶属函数，可在线根据误差调整隶属函数的形状，使模糊神经网络具有更强的学习和适应能力。
This fuzzy neural network USES wavelet basis function as membership function whose shape can be adjusted on line so that the networks have better learning and adaptive ability.
针对神经网络对水果进行分级时精度有待提高的问题，分析了补偿模糊神经网络椪柑形状分级器的分级误差。
This investigation analyses grading errors based on compensating fuzzy neural network to find out methods to improve citrus fruit grading.
最后，利用初始水平集速度图像作为输入，利用基于形状的水平集算法自动分割神经目标。
In the last step, the initial level set shape images are passed as input to the shape detection based level set algorithm to compute the final 3D neuron object.
这次经历除了激起了我的兴趣之外，更重要的是将器官、肌肉、神经、骨头的形状深深的刻在了我的脑海当中。
More than sparking my interest, however, this experience engraved the patterns of organs, nerves, muscles, and bones in my mind.
每个多层前向神经网络包含两个隐含层，以大米图像的形状特征和颜色特征作为网络输入。
With two hidden layers MLNN was trained using morphological and color features of the rice grains extracted from their images as input.
结论 跳跃型脊柱结核应根据各处病灶的部位、稳定性、畸形状况及神经损伤情况采取相应的治疗方法。
Conclusion The selection of the treatment of multiple-level noncontiguous spinal tuberculosis depends on the location, stability, deformity and neurologic status of each focus site.
结论 跳跃型脊柱结核应根据各处病灶的部位、稳定性、畸形状况及神经损伤情况采取相应的治疗方法。
Conclusion The selection of the treatment of multiple-level noncontiguous spinal tuberculosis depends on the location, stability, deformity and neurologic status of each focus site.
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