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基于網(wǎng)格細(xì)胞到位置細(xì)胞轉(zhuǎn)換的位置估計模型

周陽 吳德偉

周陽, 吳德偉. 基于網(wǎng)格細(xì)胞到位置細(xì)胞轉(zhuǎn)換的位置估計模型[J]. 電子與信息學(xué)報, 2017, 39(9): 2272-2276. doi: 10.11999/JEIT161284
引用本文: 周陽, 吳德偉. 基于網(wǎng)格細(xì)胞到位置細(xì)胞轉(zhuǎn)換的位置估計模型[J]. 電子與信息學(xué)報, 2017, 39(9): 2272-2276. doi: 10.11999/JEIT161284
ZHOU Yang, WU Dewei. Location Estimation Model Based on the Transformation from Grid Cells to Place Cells[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2272-2276. doi: 10.11999/JEIT161284
Citation: ZHOU Yang, WU Dewei. Location Estimation Model Based on the Transformation from Grid Cells to Place Cells[J]. Journal of Electronics & Information Technology, 2017, 39(9): 2272-2276. doi: 10.11999/JEIT161284

基于網(wǎng)格細(xì)胞到位置細(xì)胞轉(zhuǎn)換的位置估計模型

doi: 10.11999/JEIT161284
基金項目: 

國家自然科學(xué)基金(61273048, 61603409)

Location Estimation Model Based on the Transformation from Grid Cells to Place Cells

Funds: 

The National Natural Science Foundation of China (61273048, 61603409)

  • 摘要: 為實現(xiàn)運行體智能自主定位,該文提出一種基于網(wǎng)格細(xì)胞到位置細(xì)胞轉(zhuǎn)換的位置估計模型。結(jié)合網(wǎng)格細(xì)胞和位置細(xì)胞的放電機理以及它們之間的信息轉(zhuǎn)換關(guān)系,將位置估計模型分為空間環(huán)境學(xué)習(xí)與記憶、運動狀態(tài)感知和位置估計3部分,給出了各個部分實現(xiàn)原理和具體操作步驟,最后利用提出的模型對運行體定位問題進行了仿真實驗。結(jié)果表明,所提模型能實現(xiàn)運行體自主定位,且定位性能可通過改變模型中網(wǎng)格細(xì)胞和位置細(xì)胞參數(shù)進行調(diào)整。
  • 李偉龍, 吳德偉, 周陽, 等. 基于生物位置細(xì)胞放電機理的空間位置表征方法[J]. 電子與信息學(xué)報, 2016, 38(8): 2040-2046. doi: 10.11999/JEIT151331.
    LI Weilong, WU Dewei, ZHOU Yang, et al. A method of spatial place representation based on biological place cells firing[J]. Journal of Electronics Information Technology, 2016, 38(8): 2040-2046. doi: 10.11999/JEIT151331.
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    KEINATH A T. The preferred directions of conjunctive grid x head direction cells in the medial entorhinal cortex are periodically organized[J]. Plos One, 2016, 11(3): e0152041. doi: 10.1371/journal.pone.0152041.
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    JAUFFRET A, CUPERLIER N, GAUSSIER P, et al. Multimodal integration of visual place cells and grid cells for navigation tasks of a real robot[J]. LNAI, 2012: 136-145. doi: 10.1007/978-3-642-33093-3_14.
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    LYTTLE D, LIN K, and FELLOUS J M. Coding, stability, and non-spatial inputs in a modular grid-to-place cell model[J]. BMC Neuroscience, 2012, 13(1): 141-142. doi: 10.1186/1471-2202-13-s1-p141.
    JAUFFRET A, CUPERLIER N, and GAUSSIER P. From grid cells and visual place cells to multimodal place cell: A new robotic architecture[J]. Frontiers in Neurorobotics, 2015, 9: 1-20. doi: 10.3389/fnbot.2015.00001.
    MOSER E I, KROPFF E, and MOSER M B. Place cells, grid cells, and the brains spatial representation system[J]. Annual Review of Neuroscience, 2008, 31(1): 69-89. doi: 10.1146/ annurev.neuro.31.061307.090723.
    GIOCOMO L M, MOSER M B, and MOSER E I. Computational models of grid cells[J]. Neuron, 2011, 71(4): 589-603. doi: 10.1016/j.neuron.2011.07.023.
    SI B and TREVES A. The role of competitive learning in the generation of DG fields from EC inputs[J]. Cognitive Neurodynamics, 2009, 3(2): 177-187. doi: 10.1007/s11571- 009-9079-z.
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出版歷程
  • 收稿日期:  2016-11-25
  • 修回日期:  2017-03-17
  • 刊出日期:  2017-09-19

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