Neurobiologically Plausible Computational Models

Gabriel Kreiman
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Abstract

Supplementary content at http://bit.ly/2HpAqRm We have been traveling through the wonderful territory of the visual cortex, examining the properties of different brain areas and neural circuits, learning about how animals and their neurons respond to visual stimuli and what happens when different parts of the visual cortex are lesioned or artificially stimulated. It is now time to put all this biological knowledge into a theory of visual recognition and to instantiate this theory through a computational model that can see and interpret the world. En route toward this goal, here we start by discussing how scientists describe neural circuits using computational models and define the basic properties of neural networks.
神经生物学上可信的计算模型
补充内容http://bit.ly/2HpAqRm我们一直在探索视觉皮层的奇妙领域,检查不同大脑区域和神经回路的特性,了解动物和它们的神经元如何对视觉刺激做出反应,以及当视觉皮层的不同部分受损或受到人工刺激时会发生什么。现在是时候把所有这些生物学知识纳入一个视觉识别理论,并通过一个可以看到和解释世界的计算模型来实例化这个理论。在实现这一目标的过程中,我们首先讨论科学家如何使用计算模型描述神经回路,并定义神经网络的基本属性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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