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Statistical Traces of Long-Term Memories Stored in Strengths and Patterns of Synaptic Connections

机译:突触连接的强度和模式中存储的长期记忆的统计痕迹

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摘要

Learning and long-term memory rely on plasticity of neural circuits. In adult cerebral cortex, plasticity can result from potentiation and depression of synaptic strengths and structural reorganization of circuits through growth and retraction of dendritic spines. By analyzing 166 distributions of spine head volumes and spine lengths from mouse, rat, monkey, and human brains, we determine the “generalized cost” of dendritic spines. This cost universally depends on spine shape, i.e., the dependence is the same in all the analyzed systems. We show that, in adult, synaptic strength and structural synaptic plasticity mechanisms are in statistical equilibrium, the numbers of dendritic spines in different cortical areas are nearly optimally chosen for memory storage, and the distributions of spine lengths and head volumes are governed by a single parameter—the effective temperature. We suggest that the effective temperature may be viewed as a measure of circuit stability or longevity of stored memories.
机译:学习和长期记忆依赖于神经回路的可塑性。在成人大脑皮层中,可塑性可能来自于突触强度的增强和降低,以及通过树突棘的生长和收缩而引起的回路结构重组。通过分析来自小鼠,大鼠,猴子和人脑的166个脊柱头部体积和脊柱长度分布,我们确定了树突棘的“一般成本”。该成本通常取决于脊柱的形状,即,在所有分析的系统中,依赖性都是相同的。我们显示,在成年人中,突触强度和结构性突触可塑性机制处于统计平衡状态,几乎最佳选择了不同皮质区域的树突棘数量用于记忆存储,并且脊柱长度和头部体积的分布受单个参数-有效温度。我们建议将有效温度视为电路稳定性或存储存储器寿命的度量。

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