NeuroFlare: An mm<sup>3</sup>-Scale Wireless Neural Interface Device With Simultaneous Neural Recording and Optical Stimulation
This article presents the creation of a wireless, miniature implantable opto-electro neural interface device called NeuroFlare, capable of simultaneous neural recording and optical stimulation. NeuroFlare features a low-power, dual-modal application-specific integrated circuit (ASIC) fabricated using the 180-nm CMOS process. To support the power-intensive optical stimulation in NeuroFlare, the ASIC employs a novel linear-charging switched-capacitor stimulation (LC-SCS) structure. The LC-SCS, operating under only a 1.2-V supply voltage, can illuminate the LED with a driving voltage three times the supply voltage and large current pulses of up to 12 mA while maintaining a high charging efficiency of 86.4%. In addition, LC -SCS requires only one off-chip capacitor, greatly facilitating device miniaturization. To accurately record neural signals in the presence of stimulation artifacts, the ASIC employs a delta-sigma modulator (<inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula>M)-based recording front end with a wide dynamic range (DR) to directly digitize the neural signals. The <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula>M features a 2nd-order loop architecture implemented using a linearized transconductance-capacitor (Gm-C) integrator followed by an active noise-shaping (NS) successive approximation register (SAR) quantizer. The <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula>M with a power consumption of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$9.8~{\mu }$ </tex-math></inline-formula>W provides a peak DR of 83.7 dB, corresponding to a 400-mVPP linear input range. The <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula>M’s 173.8-dB figure of merit (FoMDR) indicates its superior energy efficiency. The ASIC is assembled into a prototype of NeuroFlare measuring <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$2.8 \,\, {\times } \,\, 3.5 \,\, {\times } \,\, 0.7$ </tex-math></inline-formula> mm3. The recorded light-evoked local field potential (LFP) verified the functionality of NeuroFlare in vivo.
Authors
- Linran Zhao (ORCID: https://orcid.org/0000-0002-3127-5838)
- Wei Shi (ORCID: https://orcid.org/0000-0001-9106-1092)
- Yaoyao Jia (ORCID: https://orcid.org/0000-0003-2904-1482)
- Yan Gong (ORCID: https://orcid.org/0009-0006-9281-9532)
- Xiang Liu (ORCID: https://orcid.org/0009-0005-1591-466X)
- Wen Li (ORCID: https://orcid.org/0000-0002-7478-1247)
- Yiming Han (ORCID: https://orcid.org/0009-0007-7198-5467)
Institutions
- The University of Texas at Austin (US)
- Michigan State University (US)
Publication Details
- Journal
- IEEE Journal of Solid-State Circuits
- Published
- 2025-01-29
- DOI
- https://doi.org/10.1109/jssc.2025.3532646
- Citations
- 2
- Primary Topic
- Neuroscience and Neural Engineering
- Type
- article
- Field-Weighted Citation Impact
- 1.82