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A neural network model self-organizing a cognitive map using theta phase precession

机译:使用θ相位进动的神经网络模型自组织认知图

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The cognitive map is thought to consist of place cells in the hippocampus. We hypothesize that "theta phase precession", a characteristic relation between the firing of the place cell and local field theta rhythm, contributes to the generation of the cognitive map as a network of place cells. We propose a network model of the hippocampus based on the hypothesis. In our model, the entorhinal cortex (EC) receives sensory-inputs of local views. The dynamic pattern of theta phase precession is generated by mutual synchronization of neural oscillators in the EC. In CA3, neural units receive inputs from the EC and the cognitive map is self-organized in the recurrent neural network. In the computer experiments, inheritance of theta phase precession in CA3 results in a kind of phase wave propagating along a 2-D plane. The 2-D plane is define as the desired array of place cells in accordance with their place fields. The wave propagation deriving from theta phase precession globally controls the synaptic modification among place cells so that their network is self-organized as the cognitive map.
机译:认知图被认为是由海马中的位置细胞组成。我们假设“θ相进动”,即位置细胞的放电与局部场θ节律之间的特征关系,有助于认知图谱的生成,并作为位置细胞的网络。我们基于该假设提出了一个海马网络模型。在我们的模型中,内嗅皮层(EC)接收局部视图的感觉输入。 Theta相位进动的动态模式是通过EC中神经振荡器的相互同步而产生的。在CA3中,神经单元接收来自EC的输入,并且认知图在循环神经网络中是自组织的。在计算机实验中,CA3中θ相移的继承导致了一种沿二维平面传播的相波。根据其位置字段,将二维平面定义为所需的位置单元阵列。来自θ相位进动的波传播全局控制位置细胞之间的突触修饰,从而使它们的网络自组织为认知图。

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