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Transforming neural computations and representing time

机译:转换神经计算并表示时间

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摘要

Motifs of neural circuitry seem surprisingly conserved over different areas of neocortex or of paleocortex, while performing quite different sensory processing tasks. This apparent paradox may be resolved by the fact that seemingly different problems in sensory information process- ing are related by transformations (changes of variables) that convert one problem into another. The same basic algorithm that is appropriate to the recognition of a known odor quality, independent of the strength of the odor, can be used to recognize a vocalization (e.g., a spoken syllable), independent of whether it is spoken quickly or slowly.
机译:在执行不同的感觉处理任务的同时,在新皮层或古大脑皮层的不同区域,神经回路的基元似乎出奇地保守。这种明显的矛盾可以通过以下事实解决:感觉信息处理中看似不同的问题与将一个问题转换为另一个问题的转换(变量的变化)有关。与气味强度无关的,适于识别已知气味质量的相同基本算法可用于识别发声(例如,口语音节),而与语音是快速还是慢速无关。

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