Abstract
Wireless optogenetics represents a transformative approach to neural control, enabling precise, non-invasive modulation of brain circuits through light-sensitive proteins. However, integrating wireless communication with optogenetic stimulation faces significant challenges, including signal attenuation in biological tissues, high energy consumption, latency issues, and limited spatiotemporal precision. This article introduces the Bio-Channel Aware Adaptive Signal Processing (Bio-CAASP) framework, a novel solution that dynamically estimates bio-tissue channel characteristics, including multi-path scattering and attenuation, and adapts signal processing techniques, such as compressive sensing and beamforming, for optimized wireless transmission. By incorporating real-time artificial intelligence (AI)-driven adjustments, Bio-CAASP can potentially reduce energy consumption and improve targeting precision through tissue-aware adaptation. This article also outlines its design choices and reports representative simulation case studies. Drawing on recent advances like AI-assisted wireless implants and closed-loop optrodes, this framework paves the way for applications in brain-machine interfaces, epilepsy suppression, and behavioral studies in freely moving subjects. Ultimately, Bio-CAASP bridges wireless communications and neuroscience, fostering energy-efficient, reliable neuromodulation technologies.
| Original language | English |
|---|---|
| Journal | IEEE Wireless Communications |
| DOIs | |
| Publication status | Accepted/In press - 2026 |
| Externally published | Yes |
Keywords
- Wireless optogenetics
- adaptive signal processing
- bio-channel awareness
- energy efficiency
- neural control
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