Theoreticians have been enchanted by the secrets of the brain for many years: how and why does it work so well? There has been a long history of searching for its mechanisms. Theoretical or even mathematical scientists have proposed various models of neural networks which has led to the birth of a new field of research. We can think of the 'pre-historic' period of Rashevski and Wiener, and then the period of perceptrons which is the beginning of learning machines, neurodynamics approaches, and further connectionist approaches. Now is currently the period of computational neuroscience. I have been working in this field for nearly half a century, and have experienced its repeated rise and fall. Now having reached very old age, I would like to state my own endeavors on establishing mathematical neuroscience for half a century, from a personal, even biased, point of view. It would be my pleasure if my experiences could encourage young researchers to participate in mathematical neuroscience.

译文

:多年以来,理论家对大脑的秘密着迷:它如何以及为什么如此有效?寻找其机制已有很长的历史。理论或什至数学科学家提出了各种神经网络模型,从而催生了一个新的研究领域。我们可以想到Rashevski和Wiener的“史前”时期,然后是感知器的时期,这是学习机器,神经动力学方法和进一步的连接主义方法的开始。现在是计算神经科学的时期。我在这个领域已经工作了近半个世纪,经历了它反复的兴衰。现在我已经很老了,我想从个人甚至偏颇的观点出发,致力于建立半个世纪的数学神经科学。如果我的经验能够鼓励年轻的研究人员参与数学神经科学,那将是我的荣幸。

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