What have we learned about artificial intelligence from studying the brain?

IF 1.7 4区工程技术 Q3 COMPUTER SCIENCE, CYBERNETICS

Biological Cybernetics Pub Date : 2024-04-01 Epub Date: 2024-02-10 DOI:10.1007/s00422-024-00983-2

Samuel J Gershman

引用次数: 0

Abstract

Neuroscience and artificial intelligence (AI) share a long, intertwined history. It has been argued that discoveries in neuroscience were (and continue to be) instrumental in driving the development of new AI technology. Scrutinizing these historical claims yields a more nuanced story, where AI researchers were loosely inspired by the brain, but ideas flowed mostly in the other direction.

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我们从研究大脑中学到了哪些关于人工智能的知识？

神经科学与人工智能（AI）有着悠久的交织历史。有人认为，神经科学的发现曾经（并将继续）推动新人工智能技术的发展。仔细研究这些历史性的说法，我们会发现一个更加细致入微的故事：人工智能研究人员从大脑中获得了一些松散的灵感，但想法大多流向了另一个方向。

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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来源期刊

Biological Cybernetics 工程技术-计算机：控制论

CiteScore

3.50

自引率

5.30%

发文量

审稿时长

6-12 weeks

期刊介绍： Biological Cybernetics is an interdisciplinary medium for theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. Topics covered include: mathematical modeling of biological systems; computational, theoretical or engineering studies with relevance for understanding biological information processing; and artificial implementation of biological information processing and self-organizing principles. Under the main aspects of performance and function of systems, emphasis is laid on communication between life sciences and technical/theoretical disciplines.