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Spatial information enhanced by non-spatial information in hippocampal granule cells

机译:海马颗粒细胞中的非空间信息增强了空间信息

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摘要

The hippocampus organizes sequential memory composed of non-spatial information (such as objects and odors) and spatial information (places). The dentate gyrus (DG) in the hippocampus receives two types of information from the lateral and medial entorhinal cortices. Non-spatial and spatial information is delivered respectively to distal and medial dendrites (MDs) of granule cells (GCs) within the molecular layer in the DG. To investigate the role of the association of those two inputs, we measured the response characteristics of distal and MDs of a GC in a rat hippocampal slice and developed a multi-compartment GC model with dynamic synapses; this model reproduces the response characteristics of the dendrites. Upon applying random inputs or input sequences generated by a Markov process to the computational model, it was found that a high-frequency random pulse input to distal dendrites (DDs) and, separately, regular burst inputs to MDs were effective for inducing GC activation. Furthermore, when the random and theta burst inputs were simultaneously applied to the respective dendrites, the pattern discrimination for theta burst input to MDs that caused slight GC activation was enhanced in the presence of random input to DDs. These results suggest that the temporal pattern discrimination of spatial information is originally involved in a synaptic characteristic in GCs and is enhanced by non-spatial information input to DDs. Consequently, the co-activation of two separate inputs may play a crucial role in the information processing on dendrites of GCs by usefully combing each temporal sequence.
机译:海马组织顺序记忆,由非空间信息(例如物体和气味)和空间信息(位置)组成。海马中的齿状回(DG)从内侧和内侧的内嗅皮层皮质接收两种类型的信息。非空间和空间信息分别传递到DG中分子层内的颗粒细胞(GCs)的远端和中间树突(MDs)。为了研究这两个输入的关联的作用,我们测量了大鼠海马切片中GC的远端和MD的响应特征,并开发了具有动态突触的多室GC模型。该模型再现了树突的响应特性。在将随机输入或由马尔可夫过程生成的输入序列应用于计算模型后,发现高频随机脉冲输入至远端树突(DD),以及常规脉冲串输入至MD可有效诱导GC激活。此外,当将随机和theta突发输入同时应用于各个树突时,在存在DD的随机输入的情况下,会导致轻微的GC激活的MD的theta突发输入的模式辨别力得到增强。这些结果表明,空间信息的时间模式判别最初与GC中的突触特征有关,并且通过向DD输入的非空间信息而得到增强。因此,通过有效地组合每个时间序列,两个单独输入的共同激活可能在GC树突信息处理中发挥关键作用。

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