连接调和皮层几何形状可预测视觉重新映射
Xize Xu1,2,3, Sachira Denagamage1,4, Anirvan S Nandy1,5,4,3,6
1Department of Neuroscience, Yale University, New Haven, CT 06510.
Research square
|October 3, 2025
概括
视觉神经元在使用尾随性放电 (CD) 信号之前重新绘制受体场. 一个新的模型解释了大脑如何保持精确的视觉感知,尽管空间表现不均,调和敏度和连续性.
科学领域:
- 神经科学是一个神经科学.
- 计算神经科学是一种神经科学.
- 视觉感知 视觉感知 视觉感知
背景情况:
- 通过眼睛运动 (摇摆) 的感知连续性依赖于前摇摆感受场 (RF) 的重新映射.
- 这种重新映射是由附带放电 (CD) 信号驱动的,但在非均表示的视觉空间中准确重新映射的机制尚不清楚.
研究的目的:
- 开发和验证一个计算模型,解释在saccades期间准确的感受场重映射.
- 为了研究大脑的非统一的视觉表现如何影响重新绘制准确性.
- 在视觉皮层内调和视觉敏度和连续性需求.
主要方法:
- 开发了一种循环神经网络模型,集成CD信号,以对位置和萨卡德方向进行连接调.
- 集成的前压抑以稳定重新映射和抵消方向选择性扭曲.
- 记录了 V2 在 cued saccades 期间记录的神经活动,以验证模型预测.
主要成果:
- 该模型成功地保留了细胞-细胞射频关系,并限制了种群动态.
- 神经记录证实了V2神经元中的萨卡德方向选择性和保存的射频关系.
- 鉴定了因皮层表征不均而产生的异心率依赖的重绘错误,这种预测得到了经验数据的支持.
- 证明在皮层表示中对抗扭曲可以将重新映射错误最小化.
结论:
- 这项研究提出了一种新型模型,用于准确的前形重绘,解释了如何保持视觉连续性.
- 揭示了以前未知的视觉神经元的特性及其在视觉感知中的作用.
- 在视觉皮层中协调视觉敏度和连续性之间的权衡.
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