理解自然智能的神经基础。
Understanding the neural basis of natural intelligence.
机构信息
Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
Department of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA; Department of Neuroscience, University of California, Berkeley, Berkeley, CA 94720, USA; Helen Wills Neuroscience Institute, University of California, Berkeley, Berkeley, CA 94720, USA; Howard Hughes Medical Institute, University of California, Berkeley, Berkeley, CA, USA.
出版信息
Cell. 2024 Oct 17;187(21):5833-5837. doi: 10.1016/j.cell.2024.07.049.
Understanding the neural basis of natural intelligence necessitates a paradigm shift: from strict reductionism toward embracing complexity and diversity. New tools and theories enable us to tackle this challenge, providing unprecedented access to neural dynamics and behavior across time, contexts, and species. Principles for intelligent behavior and learning in the natural world are now, more than ever, within reach.
理解自然智能的神经基础需要范式转变
从严格的还原论转向接受复杂性和多样性。新的工具和理论使我们能够应对这一挑战，为我们提供了前所未有的机会来了解跨时间、跨情境和跨物种的神经动态和行为。现在，比以往任何时候都更加接近自然世界中智能行为和学习的原则。
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