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The basal ganglia select the expected sensory input used for predictive coding

机译:基底神经节选择用于预测编码的预期感觉输入

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摘要

While considerable evidence supports the notion that lower-level interpretation of incoming sensory information is guided by top-down sensory expectations, less is known about the source of the sensory expectations or the mechanisms by which they are spread. Predictive coding theory proposes that sensory expectations flow down from higher-level association areas to lower-level sensory cortex. A separate theory of the role of prediction in cognition describes “emulations” as linked representations of potential actions and their associated expected sensation that are hypothesized to play an important role in many aspects of cognition. The expected sensations in active emulations are proposed to be the top-down expectation used in predictive coding. Representations of the potential action and expected sensation in emulations are claimed to be instantiated in distributed cortical networks. Combining predictive coding with emulations thus provides a theoretical link between the top-down expectations that guide sensory expectations and the cortical networks representing potential actions. Now moving to theories of action selection, the basal ganglia has long been proposed to select between potential actions by reducing inhibition to the cortical network instantiating the desired action plan. Integration of these isolated theories leads to the novel hypothesis that reduction in inhibition from the basal ganglia selects not just action plans, but entire emulations, including the sensory input expected to result from the action. Basal ganglia disinhibition is hypothesized to both initiate an action and also allow propagation of the action’s associated sensory expectation down towards primary sensory cortex. This is a novel proposal for the role of the basal ganglia in biasing perception by selecting the expected sensation, and initiating the top-down transmission of those expectations in predictive coding.
机译:尽管大量证据支持以下观点:传入的感官信息的低级解释受自上而下的感官期望的引导,但对感官期望的来源或传播它们的机制所知甚少。预测编码理论提出,感觉期望从较高级别的关联区域流到较低级别的感觉皮层。关于预测在认知中的作用的另一种理论将“模拟”描述为潜在行为及其相关的预期感觉的链接表示,这些行为被认为在认知的许多方面都起着重要作用。主动仿真中的期望感觉被提议为预测编码中使用的自上而下的期望。仿真中潜在动作和预期感觉的表示被声称在分布式皮质网络中实例化。因此,将预测编码与仿真结合起来可以在指导感官期望的自上而下的期望与代表潜在动作的皮质网络之间提供理论联系。现在转向动作选择理论,长期以来一直提出基底神经节通过减少对皮层网络的抑制来实例化所需动作计划,从而在潜在动作之间进行选择。这些孤立理论的整合导致了新的假设,即减少来自基底神经节的抑制作用不仅选择行动计划,而且还选择整个模拟,包括预期由该动作产生的感觉输入。假设基底神经节抑制作用既可以启动动作,也可以将动作的相关感官预期向下传播到初级感觉皮层。这是关于基底神经节在通过选择期望的感觉并在预测编码中启动这些期望的自上而下的传递来偏向感知中的作用的新提议。

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