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Article

Deep kinematic inference affords efficient and scalable control of bodily movements

2023-05-05

Abstract excerpt

<h4>ABSTRACT</h4> Performing goal-directed movements requires mapping goals from extrinsic (workspace-relative) to intrinsic (body-relative) coordinates and then to motor signals. Mainstream approaches based on Optimal Control realize the mappings by minimizing cost functions, which is computationally demanding. Instead, Active Inference uses generative models to produce sensory predictions, which allows a cheape...

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Literature Corpus work
2672b4d4-d7f6-5972-b83e-0be747f39728
DOI
10.1101/2023.05.04.539409
Open publication

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Deep kinematic inference affords efficient and scalable control of bodily movementsDOI 10.1101/2023.05.04.539409
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