论文标题
皮质感知循环中的内部反馈可以快速准确地行为
Internal feedback in the cortical perception-action loop enables fast and accurate behavior
论文作者
论文摘要
动物在不可预测的环境中平稳而可靠地移动。感觉运动控制模型假设来自环境的感觉信息会导致动作，然后在环境上行动，创建一个单个单向感知循环。该循环包含感官和电路路径中的内部延迟，这可能导致不稳定的控制。我们在这里表明，这些延迟可以通过从电动机向感觉区域向后流动的内部反馈信号来补偿。内部反馈在神经感觉系统中无处不在，控制理论的最新进展表明，内部反馈如何弥补内部延迟。这是通过在早期感觉区域中滤除自我生成的和其他可预测的变化来实现的，以便可以通过最快的组成部分迅速传递出不可预测的可行的信息。例如，快速，巨型神经元一定比较小的神经元不准确，但对于快速，准确的行为至关重要。我们使用数学上的可控制控制模型表明，内部反馈在实现状态估计，功能的定位中具有必不可少的作用 - 皮质的不同部分如何控制身体的不同部位 - 注意力对于有效的感官控制至关重要。 This control model can explain anatomical, physiological and behavioral observations, including motor signals in visual cortex, heterogeneous kinetics of sensory receptors and the presence of giant Betz cells in motor cortex, Meynert cells in visual cortex and giant von Economo cells in the prefrontal cortex of humans as well as internal feedback patterns and unexplained heterogeneity in other neural systems.
Animals move smoothly and reliably in unpredictable environments. Models of sensorimotor control have assumed that sensory information from the environment leads to actions, which then act back on the environment, creating a single, unidirectional perception-action loop. This loop contains internal delays in sensory and motor pathways, which can lead to unstable control. We show here that these delays can be compensated by internal feedback signals that flow backwards, from motor towards sensory areas. Internal feedback is ubiquitous in neural sensorimotor systems and recent advances in control theory show how internal feedback compensates internal delays. This is accomplished by filtering out self-generated and other predictable changes in early sensory areas so that unpredicted, actionable information can be rapidly transmitted toward action by the fastest components. For example, fast, giant neurons are necessarily less accurate than smaller neurons, but they are crucial for fast and accurate behavior. We use a mathematically tractable control model to show that internal feedback has an indispensable role in achieving state estimation, localization of function -- how different parts of cortex control different parts of the body -- and attention, all of which are crucial for effective sensorimotor control. This control model can explain anatomical, physiological and behavioral observations, including motor signals in visual cortex, heterogeneous kinetics of sensory receptors and the presence of giant Betz cells in motor cortex, Meynert cells in visual cortex and giant von Economo cells in the prefrontal cortex of humans as well as internal feedback patterns and unexplained heterogeneity in other neural systems.
