TY - JOUR
T1 - Bio-Channel Aware Adaptive Signal Processing
T2 - Enabling Efficient Wireless Optogenetic Neural Control
AU - Zhang, Yitong
AU - Guo, Chengyu
AU - Liu, Xiao
AU - Li, Wenrui
AU - Liu, Xiqing
AU - Yan, Tianyi
N1 - Publisher Copyright:
© 2002-2012 IEEE.
PY - 2026
Y1 - 2026
N2 - 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.
AB - 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.
KW - Wireless optogenetics
KW - adaptive signal processing
KW - bio-channel awareness
KW - energy efficiency
KW - neural control
UR - https://www.scopus.com/pages/publications/105031576818
U2 - 10.1109/MWC.2026.3658270
DO - 10.1109/MWC.2026.3658270
M3 - Article
AN - SCOPUS:105031576818
SN - 1536-1284
JO - IEEE Wireless Communications
JF - IEEE Wireless Communications
ER -