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首页> 外文期刊>The Journal of Neuroscience: The Official Journal of the Society for Neuroscience >Dynamic target match signals in perirhinal cortex can be explained by instantaneous computations that act on dynamic input from inferotemporal cortex
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Dynamic target match signals in perirhinal cortex can be explained by instantaneous computations that act on dynamic input from inferotemporal cortex

机译:皮层周围皮层中的动态目标匹配信号可以通过瞬时计算来解释,这些计算作用于颞下皮层的动态输入

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Finding sought objects requires the brain to combine visual and target signals to determine when a target is in view. To investigate how the brain implements these computations, we recorded neural responses in inferotemporal cortex (IT) and perirhinal cortex (PRH) as macaque monkeys performed a delayed-match-to-sample target search task. Our data suggest that visual and target signals were combined within or before IT in the ventral visual pathway and then passed onto PRH, where they were reformatted into a more explicit target match signal over~10-15 ms. Accounting for these dynamics inPRHdid not require proposing dynamic computations withinPRHitself but, rather, could be attributed to instantaneous PRH computations performed upon an input representation from IT that changed with time. We found that the dynamics of the IT representation arose from two commonly observed features: individual IT neurons whose response preferences were not simply rescaled with time and variable response latencies across the population. Our results demonstrate that these types of time-varying responses have important consequences for downstream computation and suggest that dynamic representations can arise within a feedforward framework as a consequence of instantaneous computations performed upon time-varying inputs.
机译:寻找被寻找的物体需要大脑将视觉信号和目标信号相结合,以确定何时可见目标。为了研究大脑如何实现这些计算,我们在猕猴执行了延迟匹配样本目标搜索任务时,记录了颞下皮质(IT)和周围神经皮质(PRH)的神经反应。我们的数据表明,视觉和目标信号在腹侧视觉通路中的IT内或IT之前合并,然后传递到PRH,在那里它们被重新格式化为10-15毫秒内更明确的目标匹配信号。在PRH中考虑这些动态并不需要在PRH自身内部提出动态计算,而是可以归因于IT的输入表示随时间变化而执行的瞬时PRH计算。我们发现,IT代表的动态性来自两个通常观察到的特征:单个IT神经元,其响应偏好不随时间和人群中可变响应潜伏期而简单地重新调整。我们的结果表明,这些类型的时变响应对下游计算产生重要影响,并表明由于对时变输入进行瞬时计算而在前馈框架内可能出现动态表示。

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