期刊
CURRENT OPINION IN NEUROBIOLOGY
卷 55, 期 -, 页码 73-81出版社
CURRENT BIOLOGY LTD
DOI: 10.1016/j.conb.2019.01.010
关键词
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资金
- Center for Brains, Minds and Machines (CBMM) - NSF STC award [CCF-1231216]
- Toyota Research Institute
- Mitsubishi MELCO
- National Institutes of Health [DP1HD091947]
- ONR MURI [N00014-13-1-0333]
Objects in motion activate multiple cortical regions in every lobe of the human brain. Do these regions represent a collection of independent systems, or is there an overarching functional architecture spanning all of object-driven cortex? Inspired by recent work in artificial intelligence (Al), machine learning, and cognitive science, we consider the hypothesis that these regions can be understood as a coherent network implementing an integrative computational system that unifies the functions needed to perceive, predict, reason about, and plan with physical objects-as in the paradigmatic case of using or making tools. Our proposal draws on a modeling framework that combines multiple Al methods, including causal generative models, hybrid symbolic-continuous planning algorithms, and neural recognition networks, with object-centric, physics-based representations. We review evidence relating specific components of our proposal to the specific regions that comprise object-driven cortex, and lay out future research directions with the goal of building a complete functional and mechanistic account of this system.
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