Cited by 103Motor Control and AdaptationNeural dynamics and brain functionAction Observation and Synchronization

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A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping

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Michaels, Jonathan A., Schaffelhofer, Stefan, Agudelo-Toro, Andres, Scherberger, Hansjörg·2020·Proceedings of the National Academy of Sciences

DOI 10.1073/pnas.2005087117PMC PMC7749336

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Abstract

Significance: Grasping objects is something primates do effortlessly, but how does our brain coordinate such a complex task? Multiple brain areas across the parietal and frontal cortices of macaque monkeys are essential for shaping the hand during grasping, but we lack a comprehensive model of grasping from vision to action. In this work, we show that multiarea neural networks trained to reproduce the arm and hand control required for grasping using the visual features of objects also reproduced neural dynamics in grasping regions and the relationships between areas, outperforming alternative models. Simulated lesion experiments revealed unique deficits paralleling lesions to specific areas in the grasping circuit, providing a model of how these areas work together to drive behavior.

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Authors: Michaels, J. A., Schaffelhofer, S., Agudelo-Toro, A., & Scherberger, H.
Affiliations: Western University (CA)
German Primate Center (DE)
ORCID: Michaels, Jonathan A.
Schaffelhofer, Stefan
Agudelo-Toro, Andres
Scherberger, Hansjörg
Venue: Proceedings of the National Academy of Sciences
Publisher: National Academy of Sciences
Published: 2020-11-30
Volume: 117
Issue: 50
Pages: 32124-32135
ISSN: 0027-8424 (ISSN-L)
1091-6490
DOI: 10.1073/pnas.2005087117
PMC: PMC7749336
OpenAlex: W3107175997
Cited by: 103
References: 76
Citations by year: 2026: 12 · 2025: 20 · 2024: 29 · 2023: 18 · 2022: 11 · 2021: 12 · 2020: 1
FWCI: 5.64
Type: journal article
Language: en
Open access: green
www.ncbi.nlm.nih.gov
Licence: www.pnas.org/site/aboutpnas/licenses.xhtml (vor, 181 d)
Locations: Proceedings of the National Academy of Sciences (publishedVersion)
PubMed Central (publishedVersion)
PubMed (publishedVersion)
Funders: Deutsche Forschungsgemeinschaft (FOR-1847, B3 (SCHE1575/3-2))
Topics: Life Sciences › Neuroscience › Cognitive Neuroscience › Motor Control and Adaptation
Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
Keywords: visually guided grasping, anterior intraparietal area, ventral premotor cortex, primary motor cortex, recurrent neural network model, modular neural networks, muscle kinematics, linear dynamics, lesion models, macaque
MeSH terms: Animals, Arm, Female, Frontal Lobe, Hand, Macaca mulatta, Male, Models, Neurological, Motor Activity, Parietal Lobe, Neural Networks, Computer, Hand Strength, Models, Animal

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A goal-driven modular neural network predicts parietofrontal neural dynamics during grasping

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