计算机科学
光遗传学
无线
无线传感器网络
脑-机接口
信号处理
延迟(音频)
信号(编程语言)
神经调节
无线网络
链路自适应
高效能源利用
频道(广播)
能源消耗
人工神经网络
收发机
能量(信号处理)
自适应滤波器
低延迟(资本市场)
实时计算
电子工程
无线传感器网络中的密钥分配
压缩传感
稳健性(进化)
作者
Yitong Zhang,Chengyu Guo,Xiao Liu,Wenrui Li,Xiqing Liu,Tianyi Yan
标识
DOI:10.1109/mwc.2026.3658270
摘要
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.
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