蝙蝠海马空间的拓扑映射
Topological mapping of space in bat hippocampus
摘要：
哺乳动物海马在空间学习和记忆中起着关键作用，但海马空间表征的确切性质仍在探索中。最近，在大鼠海马空间图建模方面取得了相当大的成功，假设空间信息处理的拓扑观点。在本文中，我们使用的拓扑模型来研究$3D$学习的蝙蝠，产生了一些见解的海马空间映射的神经生理机制。首先，我们证明了功能的重要性的细胞组件产生准确的地图的$3D$环境。第二，该模型表明，这些细胞集合体中的读出神经元应该作为突触输入的积分器，而不是位置细胞的协同活动的检测器，并允许估计积分时间窗口。最后，该模型表明，与相对缓慢移动的大鼠相比，抑制蝙蝠的$θ$ -进动提高了位置细胞编码空间地图的能力，这与实验观察结果一致。
英文摘要：
Mammalian hippocampus plays a key role in spatial learning and memory, but the exact nature of the hippocampal representation of space is still being explored. Recently, there has been a fair amount of success in modeling hippocampal spatial maps in rats, assuming a topological perspective on spatial information processing. In this paper, we use the topological model to study $3D$ learning in bats, which produces several insights into neurophysiological mechanisms of the hippocampal spatial mapping. First, we demonstrate functional importance of the cell assemblies for producing accurate maps of the $3D$ environments. Second, the model suggests that the readout neurons in these cell assemblies should function as integrators of synaptic inputs, rather than detectors of place cells' coactivity and allows estimating the integration time window. Lastly, the model suggests that, in contrast with relatively slow moving rats, suppressing $θ$-precession in bats improves the place cells capacity to encode spatial maps, which is consistent with the experimental observations.
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