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Multimodal Experimental Systems

Multimodal Behavioral Sensing Systems

My research often requires building custom sensing systems to study behavior in naturalistic environments.

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I design and implement multimodal experimental platforms combining neural recordings, motion tracking, computer vision, and custom hardware systems.

 

These systems allow the acquisition and analysis of large multimodal datasets linking neural activity, movement, and behavior.

I design experimental systems to measure behavior, movement, and neural activity simultaneously in naturalistic environments. These systems integrate neural recordings, motion tracking, and behavioral sensing to generate large multimodal datasets.

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Typical components include:

  • wireless neural recording systems

  • camera-based motion tracking

  • mobile EEG systems

  • behavioral sensors and triggers

  • synchronized multimodal data acquisition

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These platforms are designed for high-throughput behavioral experiments and large-scale dataset analysis.

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