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预先存在的海马网络动力学限制光遗传学诱导的位置场。

Preexisting hippocampal network dynamics constrain optogenetically induced place fields.

机构信息

The Neuroscience Institute, Department of Neurology, NYU Langone Medical Center and Center for Neural Science, New York, NY 10016, USA; Department of Neurosciences, University of New Mexico, Albuquerque, NM 87131, USA.

The Neuroscience Institute, Department of Neurology, NYU Langone Medical Center and Center for Neural Science, New York, NY 10016, USA; Center for Neural Science, New York University, 4 Washington Place, New York, NY 10003, USA.

出版信息

Neuron. 2021 Mar 17;109(6):1040-1054.e7. doi: 10.1016/j.neuron.2021.01.011. Epub 2021 Feb 3.

Abstract

Memory models often emphasize the need to encode novel patterns of neural activity imposed by sensory drive. Prior learning and innate architecture likely restrict neural plasticity, however. Here, we test how the incorporation of synthetic hippocampal signals is constrained by preexisting circuit dynamics. We optogenetically stimulated small groups of CA1 neurons as mice traversed a chosen segment of a linear track, mimicking the emergence of place fields. Stimulation induced persistent place field remapping in stimulated and non-stimulated neurons. The emergence of place fields could be predicted from sporadic firing in the new place field location and the temporal relationship to peer neurons before the optogenetic perturbation. Circuit modification was reflected by altered spike transmission between connected pyramidal cells and inhibitory interneurons, which persisted during post-experience sleep. We hypothesize that optogenetic perturbation unmasked sub-threshold place fields. Plasticity in recurrent/lateral inhibition may drive learning through the rapid association of existing states.

摘要

记忆模型通常强调需要对感觉驱动引起的新的神经活动模式进行编码。然而,先前的学习和先天的结构可能会限制神经可塑性。在这里,我们测试了合成海马信号的结合是如何受到预先存在的电路动力学的限制的。当老鼠在线性轨道上的一个选定部分穿行时,我们用光遗传学刺激 CA1 神经元的小群,模拟出现场。刺激诱导刺激和非刺激神经元中持续的位置场重映射。从新位置场的位置的零星发射和在光遗传学干扰之前与同伴神经元的时间关系,可以预测位置场的出现。连接的锥体神经元和抑制性中间神经元之间的尖峰传输的改变反映了电路的修改,这种改变在经历后睡眠期间仍然存在。我们假设光遗传学干扰揭示了亚阈值位置场。通过对现有状态的快速关联,递归/侧向抑制中的可塑性可能会推动学习。

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