arXiv:2605.29355v1 Announce Type: new Abstract: Understanding how cortical activity represents natural whole-body behaviors in primates remains challenging. Limited by the diversity of movements and inaccessibility of large-scale neural representation of whole-body kinematics, previous motor decoding studies focused on constrained tasks and limited limb movements. Here, we present a neural-behavioral recording and modeling framework for freely moving monkeys, combining large-scale epidural cortical signals from distributed sensory- and motor-related areas with synchronized multi-view motion ca
The continuous advancements in neural recording technologies and computational modeling are enabling more sophisticated analyses of brain-behavior relationships in complex, naturalistic settings.
Understanding neural representation of whole-body movement in primates is crucial for developing more effective neuroprosthetics and for advancing embodied AI research and robotics.
This research provides a more comprehensive framework for mapping brain activity to naturalistic, complex movements, moving beyond constrained, limb-specific studies.
- · Neuroprosthetics researchers
- · Robotics developers
- · Computational neuroscience
- · AI researchers
- · Legacy motor control theories
Improved understanding of motor control in the brain.
Development of more intuitive and functional brain-computer interfaces for complex actions.
Enhanced biomimetic design for general-purpose humanoid robots and advanced AI systems capable of natural full-body interaction.
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Read at arXiv cs.LG