Editorial overview: Computational modeling: After the Middle Ages of computational neuroscience
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Whilst acknowledging important precursors in a variety of disciplines, from neuronal biophysics to mathematical psychology and beyond, it is common to date the modern era of computational modeling in neuroscience to a period starting in the late 1960s with seminal contributors such as Rall and Barlow. This era perhaps found its first culmination in Marr’s magnum opus [1]. In human terms, this makes the field around fifty years old. Duly, it is enjoying elements of a mid-life crisis, and simultaneously a middle-aged spread to neighbouring and related fields, including cognitive science, psychiatry and beyond. The papers in this issue well capture both these elements, providing dispatches and sometimes trenchant opinion about current enthusiasms and ways forward.
[1] Tomaso Poggio,et al. From Understanding Computation to Understanding Neural Circuitry , 1976 .
[2] J. Gott. Implications of the Copernican principle for our future prospects , 1993, Nature.