Computational modeling helps neuroscientists to integrate and explain experimental data obtained through neurophysiological and anatomical studies, thus providing a mechanism by which we can better understand and predict the principles of neural computation. Computational modeling of the neuronal pathways of the visual cortex has been successful in developing theories of biological motion processing. This review describes a range of computational models that have been inspired by neurophysiological experiments. Theories of local motion integration and pattern motion processing are presented, together with suggested neurophysiological experiments designed to test those hypotheses.

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了解运动的视觉处理：使用实验驱动的 MT 计算模型完成图片

计算建模帮助神经科学家整合和解释通过神经生理学和解剖学研究获得的实验数据，从而提供一种机制，使我们能够更好地理解和预测神经计算的原理。视觉皮层神经元通路的计算模型已经成功地发展了生物运动处理理论。这篇综述描述了一系列受神经生理学实验启发的计算模型。提出了局部运动整合和模式运动处理的理论，以及旨在检验这些假设的建议的神经生理学实验。