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对于V4扰动的FEF神经元冲刺代码的弹性

Mohammad Shams¹, Peter Thier¹, Stephen G Lomber²

¹Hertie Institute for Clinical Brain Research, University of Tübingen, Tübingen, Germany.

Journal of neurophysiology

|October 18, 2023

概括

眼前视野 (FEF) 中的神经元预测跳动. 专注于运动的FEF神经元更好地预测眼睛的运动,表现出对干扰的弹性,支持积累模型.

科学领域:

神经科学是一个神经科学.
系统神经科学系统神经科学
认知神经科学认知神经科学

背景情况:

前视野 (FEF) 对于启动动,即快速眼动至关重要.
积累模型提出了FEF神经元动态如何使萨卡德启动成为可能.

研究的目的:

评估FEF神经元活动对萨卡德启动的预测准确度.
为了评估FEF神经元与积累模型的合规性.

主要方法:

在记忆指导的冲击任务期间,在 rhesus 子的 FEF 中记录了单个神经元的活动.
量化了前冲击活动,以预测即将发生的冲击.
通过V4区域扰乱FEF神经元,以评估对萨克德可预测性的影响.

主要成果:

训练有较强运动部件的神经元的解码器比训练有视觉部件的神经元的解码器更准确地预测了跳动.
对FEF神经元的干扰显著改变了反应时间,但并没有破坏预测性.
FEF神经元前突发性放电模式显示出高弹性,与积累模型保持一致.

结论:

具有运动部件的FEF神经元更容易预测跳动.
FEF神经元活动模式表现出对干扰的弹性,支持萨卡德启动的积累模型.

关键词:

积累模型中的积累模型.细胞外记录细胞外记录眼睛的前部眼球领域.萨卡德开始解码解码萨卡迪眼睛的运动.

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