An Embedded Real-Time Processing Platform for Optogenetic Neuroprosthetic Applications

作者：Yan Boyuan; Nirenberg Sheila^*

来源：IEEE Transactions on Neural Systems and Rehabilitation Engineering, 2018, 26(1): 233-243.

DOI：10.1109/TNSRE.2017.2763130

• Embedded processor
• neural signal processing
• neural pathway modeling
• optogenetic stimulation
• digital light processing
• neuroprosthesis

Optogenetics offers a powerful new approach for controlling neural circuits. It has numerous applications in both basic and clinical science. These applications require stimulating devices with small processors that can perform real-time neural signal processing, deliver high-intensity light with high spatial and temporal resolution, and do not consume a lot of power. In this paper, we demonstrate the implementation of neuronal models in a platform consisting of an embedded system module and a portable digital light processing projector. As a replacement for damaged neural circuitry, the embedded module processes neural signals and then directs the projector to optogenetically activate a downstream neural pathway. We present a design in the context of stimulating circuits in the visual system, but the approach is feasible for a broad range of biomedical applications.

• 出版日期2018-1