在灵长类动物中,由层次的新皮层区域网络对自发和刺激驱动活动进行对等
Teppei Matsui1,2,3,4,5, Takayuki Hashimoto6,7,8, Tomonari Murakami9,10,11
1Department of Physiology, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan. tematsui@mail.doshisha.ac.jp.
Nature communications
|December 5, 2024
概括
神经网络使用直角活动模式将传感信号与噪声分离. 这项研究揭示了这种信号噪声分离机制是整个皮质区域和物种的一般原则.
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.
背景情况:
- 生物神经网络必须在自发的神经活动中可靠地处理信息.
- 在小鼠初级视觉皮层 (V1) 中,自发和唤起活动的直角模式有助于信号-噪声分离.
- 对肉食动物和灵长类V1的研究显示了类似的模式,这表明柱状皮层的机制不同.
研究的目的:
- 为了研究马尔莫塞特视觉系统中信号噪声分离的机制.
- 为了比较各种不同皮质区域的自发和刺激引起的活动模式,在海.
主要方法:
- 电生理学记录在马尔莫塞特初级视觉皮层 (V1) 和较高视觉区域.
- 对自发和刺激引起的神经活动模式的分析.
- 活动模式相似性和正角性的比较.
主要成果:
- 在马尔莫塞特V1中,自发和刺激引起的活动模式相似.
- 在较高的马尔莫塞特视觉区域中,活动模式在皮层层次上逐渐成为正交的.
- 在较高的马尔莫塞特地区的正方位水平与在小鼠V1.0中观察到的水平相匹配.
结论:
- 自发和刺激引起的活动的正对称是皮层计算的一般原则.
- 这种将感官信号与内部噪声分离的机制在不同物种和视觉区域中得到保护.
- 这些发现挑战了关于柱状视觉皮层中信号噪声分离的先前假设.
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