文献类型：期刊文献

中文题名：基于神经能量场梯度的智力探索

英文题名：Mentalexploration based on neural energy field gradient

作者：王毅泓[1];王如彬[1];朱雅婷[1]

机构：[1]华东理工大学认知神经动力学研究所,上海200237

年份：2017

卷号：36

期号：2

起止页码：7

中文期刊名：振动与冲击

外文期刊名：Journal of Vibration and Shock

收录：CSTPCD;;EI(收录号：20171203466058);Scopus;北大核心:【北大核心2014】；CSCD:【CSCD2017_2018】；

基金：国家自然科学基金(11232005;11472104);教育部博士生基金(20120074110020)

语种：中文

中文关键词：认知地图;智力探索;能量编码;能量场;能量场梯度

外文关键词：Codes (symbols);Cognitive systems;Computer programming;Deep neural networks;Neural networks;Physiological models

摘要：啮齿类动物可以在海马中形成代表环境的认知地图来解决空间问题。在经典的认知地图模型中,系统需要大量物理探索来学习空间环境,从而解决寻路问题,这个过程会耗费大量时间和能量。虽然Hopfield的智力探索模型弥补了这个缺陷,但是该模型并没有关注路径的高效性。并且这个模型主要来自于人工神经网络,缺乏明确的生理学意义。该计算模型在智力探索概念的基础上,运用神经能量编码的理论来解决路径搜索问题:该模型通过位置细胞集群的发放功率构建一种能量场,并计算能量场的梯度,进而用梯度向量来研究智力探索问题。研究结果表明提出的这种新的智力探索模型不仅可以更高效地找到优化路径,而且呈现了具有生物物理学意义的学习过程。这种新思路验证了位置细胞和突触对空间记忆的重要性以及能量编码的有效性,为了解空间记忆的神经动力学机制提供了理论基础。
Rodent animals can solve the space problem by means of forming a cognitive map in the hippocampus representing the environment. In the classic model of cognitive map, the system needs large amount of physical exploration to study the spatial environment so as to solve path-finding problems, which costs a lot of time and energy. Although the Hopfield's mental exploration model makes up the deficiency mentioned above, the efficiency of the path has not been focused in the model. Moreover, this model mainly comes from the artificial neural network, lacking of clear physiological significance. In the paper, based on the concept of mental exploration, the neural energy coding theory was applied to the calculation model so as to solve the path search problem: an energy field was constructed in the model on the basis of the firing power of position cell clusters, and the energy field gradient was calculated which can be used to study the mental exploration problem. The study shows that the new mental exploration model proposed can efficiently find the optimal path, and present the learning process with biophysical meaning as well. The new idea verifies the importance of position cell and synapse on the spatial memory and the efficiency of energy coding, which provides the theoretical basis for the neural dynamics mechanism of spatial memory. ? 2017, Editorial Office of Journal of Vibration and Shock. All right reserved.