An integrative computational architecture for object-driven cortex
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nihms-1519163.pdf
Description
Accepted version
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466.22 KB
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Author(s)
Yildirim, Ilker
Wu, Jiajun
Kanwisher, Nancy
Tenenbaum, Joshua B
Date Issued
April 2019
Journal
Current opinion in neurobiology
Publisher
Elsevier BV
Citation
Yildirim, Ilker, Jiajun Wu, Nancy Kanwisher, and Joshua B. Tenenbaum, "An integrative computational architecture for object-driven cortex." Current opinion in neurobiology 55 (April 2019): p. 73-81 doi 10.1016/J.CONB.2019.01.010 ©2019 Author(s)
Version
Author's final manuscript
Abstract
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 (AI), 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 AI 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. ©2019
MIT Department
McGovern Institute for Brain Research at MIT
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Terms of Use
Creative Commons Attribution-NonCommercial-NoDerivs License
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DOI of Published Version
https://doi.org/10.1016/J.CONB.2019.01.010
