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控制大脑两半球间输入揭示侧向相互作用的倍增机制

Multiplicative mechanism of lateral interactions revealed by controlling interhemispheric input.

机构信息

Research Group: Cortical Function and Dynamics, Max-Planck-Institute for Brain Research, 60528 Frankfurt, Germany.

出版信息

Cereb Cortex. 2013 Apr;23(4):900-12. doi: 10.1093/cercor/bhs081. Epub 2012 Apr 2.

Abstract

Long-range horizontal connections are thought to modulate the responsiveness of neurons by supplying contextual information. A special type of long-range connections are interhemispheric projections, linking the 2 cerebral hemispheres. To investigate the action of those projections in a causal approach, we recorded in cat primary visual cortex while deactivating corresponding regions on the contralateral hemisphere. Interestingly, the action of callosal projections turned out to depend on the local and global composition of the stimulus: Full-field stimulation with gratings revealed moderate rate decreases (modulation index -0.24) and some significant increases (+0.21), whereas with lesser salient random dot textures, much more neurons were affected and reacted with pronounced rate decreases (-0.4). However, orientation and direction selectivity of those neurons were only slightly influenced by callosal input. This invariance could be achieved by scaling responses multiplicatively. Indeed, we could quantify the action of callosal input as a multiplicative scaling of responses, but additive scaling also occurred, especially for grating stimulation. We conclude that the quantitative action of long-range horizontal connections is by no means fixed but depends on how the network is driven by an external stimulus. Qualitatively, those connections seem to adjust the response gain of neurons, thereby preserving their selectivity.

摘要

长程水平连接被认为通过提供上下文信息来调节神经元的反应性。一种特殊类型的长程连接是半球间投射,连接两个大脑半球。为了在因果关系的方法中研究这些投射的作用,我们在猫的初级视觉皮层记录时,同时使对侧半球的对应区域失活。有趣的是,胼胝体投射的作用取决于刺激的局部和全局组成:用光栅进行全场刺激显示出适度的率降低(调制指数-0.24)和一些显著的增加(+0.21),而用不太显著的随机点纹理时,更多的神经元受到影响,并表现出明显的率降低(-0.4)。然而,这些神经元的方向和方向选择性仅受到胼胝体输入的轻微影响。这种不变性可以通过对响应进行乘法缩放来实现。事实上,我们可以将胼胝体输入的作用量化为响应的乘法缩放,但也会发生加法缩放,尤其是对于光栅刺激。我们得出结论,长程水平连接的定量作用绝非固定不变的,而是取决于网络如何受到外部刺激的驱动。从定性上看,这些连接似乎调整了神经元的响应增益,从而保持了它们的选择性。

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