Evidence map›Paper›PMID 42233056›Full record

ArticleIEEE journal of solid-state circuits2025

NeuroFlare: An mm

Linran Zhao, Yan Gong, Xiang Liu, Wei Shi, Yiming Han, Wen Li, Yaoyao Jia

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in IEEE journal of solid-state circuits, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Linran ZhaoChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Yan GongDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Xiang LiuDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Wei ShiChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Yiming HanChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.
Wen LiDepartment of Electrical and Computer Engineering, Michigan State University, East Lansing, MI 48824, USA.
Yaoyao JiaChandra Family Department of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX 78712, USA.

Funding

Wireless Power Transmission System for High-Throughput Behavioral Studies on Small Freely Moving Animal SubjectsR03NS124038 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI JIA, YAOYAO · 2022 to 2023
$149k
NINDS NIH HHS R03 NS124038
6 · The paper itself

Abstract

This paper 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 (

Indexed as

implantable miniature neural interfaceneural recordingoptical stimulationwireless data transmissionwireless power transmission

Identifiers

PMID42233056
PMCPMC13225720

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.