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Coding “What” and “When” in the Archer Fish Retina

机译:在射手鱼视网膜中编码“什么”和“何时”

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Traditionally, the information content of the neural response is quantified using statistics of the responses relative to stimulus onset time with the assumption that the brain uses onset time to infer stimulus identity. However, stimulus onset time must also be estimated by the brain, making the utility of such an approach questionable. How can stimulus onset be estimated from the neural responses with sufficient accuracy to ensure reliable stimulus identification? We address this question using the framework of colour coding by the archer fish retinal ganglion cell. We found that stimulus identity, “what”, can be estimated from the responses of best single cells with an accuracy comparable to that of the animal's psychophysical estimation. However, to extract this information, an accurate estimation of stimulus onset is essential. We show that stimulus onset time, “when”, can be estimated using a linear-nonlinear readout mechanism that requires the response of a population of 100 cells. Thus, stimulus onset time can be estimated using a relatively simple readout. However, large nerve cell populations are required to achieve sufficient accuracy.
机译:传统上,神经反应的信息内容是使用相对于刺激开始时间的反应统计来量化的,并假设大脑使用开始时间来推断刺激身份。然而,刺激的开始时间也必须由大脑来估计,这使得这种方法的实用性值得怀疑。如何从神经反应中足够准确地估计刺激发作,以确保可靠的刺激识别?我们使用弓箭鱼视网膜神经节细胞的颜色编码框架来解决这个问题。我们发现,可以从最佳单细胞的反应中估计出刺激身份,即“什么”,其准确性可与动物的心理生理估计相媲美。但是,要提取此信息,必须准确估计刺激发作的时间。我们表明,刺激的开始时间“何时”可以使用线性-非线性读出机制来估计,该机制需要对100个细胞群的响应。因此,可以使用相对简单的读数来估计刺激开始时间。但是,需要大量的神经细胞才能获得足够的准确性。

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