Our long-term goal is to use these techniques to uncover principles of neural coding.
我们的长期目标是要利用这些技术来揭示神经编码原则。
However, the neural coding of border ownership in human visual cortex is largely unknown.
然而，对于人类视皮层如何编码边缘所有权这个问题，我们知之甚少。
A new hypothesis of neural coding, the hypothesis of hierarchically associated coding based on the neuronal clusters, is proposed.
提出一个新的神经信息编码假设，称为神经元簇的层次性联合编码假设。
The challenges facing auditory neuroscientists and biomedical engineers are to understand neural coding mechanisms in the brain underlying such transformations.
听觉神经科学家和生物医学工程师所面临的挑战便是如何去理解大脑中这些转换的编码机制。
The results above provide the basis for us to understanding neural firing rhythms transformational regulation, and are helpful to cognize neural coding and its mechanism.
上述结果为我们理解神经放电节律的转换规律提供了基础，有助于我们进一步认识神经信息编码及其机制。
Coincidence detection is a general neural mechanism which plays a role in binaural hearing and, possibly, in intensity coding and pitch extraction as well.
同时侦测是寻常的神经机制，它们在双耳听觉、强度编码与音高选取中扮演著举足轻重的角色。
On the basis of molecular subgraph coding method, a back propagation neural network was trained on the molecular subgraph code to predict Gibbs energy of alkanes.
采用分子子图编码法将烷烃的分子子图码作为人工神经网络的输入参数 ，对烷烃的吉布斯自由能进行预测 。
Topics include temporal coding, neural maps and feature detectors, learning and plasticity, and feedback control.
课程内容包含时间编码程序、神经系统地图与特征探测器、学习与可塑性以及回馈控制。
Recent studies revealed that pain perception is formed via large-scale coding processes in central neural networks, involving several dimensions such as sensory, affective, and cognitive.
近年来的研究表明，疼痛感知觉的形成是一个大规模的中枢网络编码过程，包括了感觉、情绪、认知等若干不同的维度，牵涉到脊髓、脑干、边缘系统、皮层等多个相关结构。
Recent studies revealed that pain perception is formed via large-scale coding processes in central neural networks, involving several dimensions such as sensory, affective, and cognitive.
近年来的研究表明，疼痛感知觉的形成是一个大规模的中枢网络编码过程，包括了感觉、情绪、认知等若干不同的维度，牵涉到脊髓、脑干、边缘系统、皮层等多个相关结构。
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