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Mnemonic Functions for Nonlinear Dendritic Integration in Hippocampal Pyramidal Circuits

机译:海马金字塔形电路非线性树突整合的记忆功能。

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摘要

We present a model for neural circuit mechanisms underlying hippocampal memory. Central to this model are nonlinear interactions between anatomically and functionally segregated inputs onto dendrites of pyramidal cells in hippocampal areas CA3 and CA1. We study the consequences of such interactions using model neurons in which somatic burstfiring and synaptic plasticity are controlled by conjunctive processing of these separately integrated input pathways. We find that nonlinear dendritic input processing enhances the model's capacity to store and retrieve large numbers of similarmemories. During memory encoding, CA3 stores heavily decorrelated engrams to prevent interference between similar memories, while CA1 pairs these engrams with information-rich memory representations that will later provide meaningful output signals during memory recall. While maintaining mathematical tractability, this model brings theoretical study of memory operations closer to the hippocampal circuit's anatomical and physiological properties, thus providing a framework for future experimental and theoretical study of hippocampal function.
机译:我们提出了海马记忆的神经回路机制的模型。该模型的核心是海马区CA3和CA1的锥体细胞的树突上的解剖和功能隔离输入之间的非线性相互作用。我们使用模型神经元研究这种相互作用的后果,在模型神经元中,通过这些单独集成的输入途径的联合处理来控制体细胞爆发和突触可塑性。我们发现非线性树突状输入处理增强了模型存储和检索大量相似内存的能力。在存储器编码期间,CA3存储大量去相关的字母,以防止相似的存储器之间发生干扰,而CA1将这些字母与信息丰富的存储器表示形式配对,这些信息随后将在存储器调用期间提供有意义的输出信号。在保持数学易处理性的同时,该模型使记忆操作的理论研究更接近海马回路的解剖和生理特性,从而为将来的海马功能实验和理论研究提供了框架。

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