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Motor Cortical Computations Underlying Natural Dexterous Movement in Freely Flying Bats
Boaz Styr1,2,3, Kevin K Qi3,4, Xing Chen3,4
1Department of Bioengineering, UC Berkeley, Berkeley, California 94720, United States.
Biorxiv : the Preprint Server for Biology
|April 3, 2026
Summary
Bat flight reveals complex neural computations. Motor cortex neurons show sparse, mixed selectivity for wing movements, challenging existing models of motor control during natural behavior.
Area of Science:
- Neuroscience
- Motor Control
- Computational Neuroscience
Background:
- Understanding neural computations for complex natural movements is a key challenge.
- Bat flight, with its intricate 3D maneuvers, offers a complex model system for motor control studies.
Purpose of the Study:
- To investigate neural ensemble activity in the bat motor cortex during free flight.
- To correlate neuronal activity with precise wing kinematics during complex flight behaviors.
Main Methods:
- Large-scale wireless recordings of neuronal ensembles using Neuropixels probes in freely flying bats.
- Detailed 3D pose tracking of wing kinematics during flight.
Main Results:
- Bats exhibit highly accurate flight through precise wingbeat adjustments.
- Motor cortical activity was not dominated by the wingbeat cycle; neurons showed sparse, mixed selectivity.
- Neural population activity operated in a high-dimensional regime with low shared variance across wingbeats.
Conclusions:
- Mammalian motor cortex utilizes a high-dimensional computational regime during complex natural behaviors.
- Studying ethologically relevant behaviors like bat flight is crucial for understanding neural principles of brain function.
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