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Updated: Apr 18, 2026

Efficiently Recording the Eye-Hand Coordination to Incoordination Spectrum
Published on: March 21, 2019
The Compositional Encoding of Hand-Eye Coordinated Movements for Single Neurons in the Posterior Parietal Cortex.
Nikos A Mynhier1,2, Jorge Gamez1, Kelsie Pejsa1
1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
Neural representations in the human posterior parietal cortex (PPC) are additively separable, allowing for modular decoding of hand-eye coordinated movements. This finding clarifies how the brain integrates hand and eye actions.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Motor Control
Background:
- The posterior parietal cortex (PPC) is implicated in hand-eye coordination.
- The precise neural mechanisms for encoding combined hand and eye movements remain unclear.
Purpose of the Study:
- To investigate the neural encoding of hand-eye coordination in the human PPC.
- To determine if PPC neurons represent hand and eye movements independently or interactively.
Main Methods:
- Recorded single-neuron activity from motor cortex (MC) and PPC in a human participant during a center-out task.
- Analyzed neural modulation by hand and eye movements.
- Developed compositional decoders to assess movement representation separability.
Main Results:
- MC neurons showed minimal eye movement modulation.
- 79% of PPC neurons exhibited additive separability into independent hand and eye movement tuning curves.
- Compositional decoders achieved performance comparable to decoders trained on coordinated movements.
Conclusions:
- Human PPC utilizes compositionality to modularly represent and decode hand-eye coordinated movements.
- Hand movement encoding in MC is largely independent of eye movements during this task.
- This separability facilitates flexible integration of sensorimotor information.
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