神经科学
认知科学
主题(计算)
透视图(图形)
神经系统
维数(图论)
忽视
生命之树(生物学)
空格(标点符号)
生物
自然选择
选择(遗传算法)
进化生物学
心理学
计算机科学
人工智能
系统发育学
精神科
生物化学
纯数学
操作系统
基因
数学
作者
E. A. Arbas,Ian A. Meinertzhagen,S. R. Shaw
标识
DOI:10.1146/annurev.ne.14.030191.000301
摘要
Evolution is the unifying theme of biological thought. It is therefore surprising that until recently it has little shaped the ideas of those who have sought principles among the cells and circuits of nervous systems. After relegation to an historic approach for many decades, an evolutionary perspective in neuroscience has revived, armed now with evidence available from the identified-neuron approach (Bullock & Horridge 1965; Bullock 1974; Wiersma 1974; Hoyle 1983) and fortified by modern molecular developments. In this review we have concentrated mostly on the molec ular, cellular, and circuit level of analysis wherever there is an evolutionary dimension, compelled for want of space to neglect the extensive fields of comparative neurology and of behavior, except for a few cases for which correlated cell or molecular information was available. Of the several good reasons for renewed interest in the evolutionary background to neural operation, two may be singled out. First, understanding how nervous systems evolve may give critical insight into otherwise inexplicable details of their construction. Animals were not designed de novo by engineers, but sculpted through natural selection acting upon variations arising within their ontogenetic programs,
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