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A self-organizing model of place cells with grid-structured receptive fields

机译:具有网格结构的接收场的位置细胞的自组织模型

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In this article, we propose a new information separation model consisting of two vector quantization (VQ) layers, the superior layer and the inferior. The inferior VQ layer receives inhibitory input from the superior via anti-Hebbian synapses, which forces the winner on the inferior layer to be distributed independently of that on the superior. Supplied with input vectors carrying 2D positional information, the inferior layer can self-organize place-cell-like units with a grid-structured receptive field which shows a remarkable resemblance to that of "grid cells" found recently in the entorhinal cortex of a rat.
机译:在本文中,我们提出了一种新的信息分离模型,该模型由两个矢量量化(VQ)层(上层和下层)组成。下层VQ层通过反希伯来突触接收来自上层的抑制输入,这迫使下层的获胜者独立于上层的获胜者进行分配。通过提供带有2D位置信息的输入向量,下层可以自组织具有网格结构的接收场的类似位置细胞的单元,这与最近在大鼠的内嗅皮层中发现的“网格细胞”非常相似。 。

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