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Descending control of neural bias and selectivity in a spatial attention network: Rules and mechanisms

机译：空间注意力网络中神经偏差和选择性的下降控制：规则和机制

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摘要

The brain integrates stimulus-driven (exogenous) activity with internally generated (endogenous) activity to compute the highest priority stimulus for gaze and attention. Little is known about how this computation is accomplished neurally. We explored the underlying functional logic in a critical component of the spatial attention network, the optic tectum (OT, superior colliculus in mammals), in awake barn owls. We found that space-specific endogenous influences, evoked by activating descending forebrain pathways, bias competition among exogenous influences, and substantially enhance the quality of the categorical neural pointer to the highest priority stimulus. These endogenous influences operate across sensory modalities. Biologically grounded modeling revealed that the observed effects on network bias and selectivity require a simple circuit mechanism: endogenously driven gain modulation of feedback inhibition among competing channels. Our findings reveal fundamental principles by which internal and external information combine to guide selection of the next target for gaze and attention.
机译：大脑将刺激驱动的（外源）活动与内部产生的（内源）活动相结合，以计算注视和注意力的最高优先级刺激。关于如何通过神经完成此计算知之甚少。我们在醒着的仓n中探索了空间注意力网络的关键组成部分的潜在功能逻辑，即视神经顶盖（OT，哺乳动物的上丘）。我们发现，通过激活下降的前脑通路引起的特定于空间的内源性影响，使外源性影响之间的竞争产生偏差，并显着提高了指向最高优先级刺激的分类神经指针的质量。这些内源性影响贯穿感觉模态。生物学基础的建模表明，观察到的对网络偏置和选择性的影响需要简单的电路机制：竞争通道之间反馈抑制的内生驱动增益调制。我们的发现揭示了内部和外部信息相结合以指导选择下一个凝视和关注目标的基本原理。

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