An integrative computational architecture for object-driven cortex
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), mac...
| Main Authors: | , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Elsevier BV
2020
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| Online Access: | https://hdl.handle.net/1721.1/124676 |
| _version_ | 1826210154305028096 |
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| author | Yildirim, Ilker Wu, Jiajun Kanwisher, Nancy Tenenbaum, Joshua B |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Yildirim, Ilker Wu, Jiajun Kanwisher, Nancy Tenenbaum, Joshua B |
| author_sort | Yildirim, Ilker |
| collection | MIT |
| description | 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 |
| first_indexed | 2024-09-23T14:44:45Z |
| format | Article |
| id | mit-1721.1/124676 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:44:45Z |
| publishDate | 2020 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1246762022-10-01T22:14:24Z An integrative computational architecture for object-driven cortex Yildirim, Ilker Wu, Jiajun Kanwisher, Nancy Tenenbaum, Joshua B 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 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 NSF STC (award no.: CCF-1231216) ONR MURI (no. N00014-13-1-0333) NIH (no. DP1HD091947) 2020-04-15T20:02:28Z 2020-04-15T20:02:28Z 2019-04 2019-02 2020-04-06T17:02:42Z Article http://purl.org/eprint/type/JournalArticle 1873-6882 0959-4388 https://hdl.handle.net/1721.1/124676 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) en 10.1016/J.CONB.2019.01.010 Current opinion in neurobiology Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV PMC |
| spellingShingle | Yildirim, Ilker Wu, Jiajun Kanwisher, Nancy Tenenbaum, Joshua B An integrative computational architecture for object-driven cortex |
| title | An integrative computational architecture for object-driven cortex |
| title_full | An integrative computational architecture for object-driven cortex |
| title_fullStr | An integrative computational architecture for object-driven cortex |
| title_full_unstemmed | An integrative computational architecture for object-driven cortex |
| title_short | An integrative computational architecture for object-driven cortex |
| title_sort | integrative computational architecture for object driven cortex |
| url | https://hdl.handle.net/1721.1/124676 |
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