Evidence map›Paper›PMID 39600216›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2025

Taming Prolonged Ionic Drift-Diffusion Dynamics for Brain-Inspired Computation.

Hisashi Inoue, Hiroto Tamura, Ai Kitoh, Xiangyu Chen, Zolboo Byambadorj, Takeaki Yajima, Yasushi Hotta, Tetsuya Iizuka, Gouhei Tanaka, Isao H Inoue

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

10 authors.

Hisashi InoueNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, 305-8565, Japan.ORCID 0009-0008-6307-3772
Hiroto TamuraGraduate Schools for Law and Politics, The University of Tokyo, Tokyo, 113-0033, Japan.ORCID 0000-0003-2707-1573
Ai KitohNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, 305-8565, Japan.ORCID 0009-0005-6360-2898
Xiangyu ChenSystems Design Laboratory, School of Engineering, The University of Tokyo, Tokyo, 113-0032, Japan.ORCID 0000-0002-8939-2367
Zolboo ByambadorjSystems Design Laboratory, School of Engineering, The University of Tokyo, Tokyo, 113-0032, Japan.ORCID 0000-0003-3859-4169
Takeaki YajimaGraduate School of Information Science and Electrical Engineering, Kyushu University, Fukuoka, 819-0395, Japan.ORCID 0000-0002-2644-8888
Yasushi HottaDepartment of Engineering, University of Hyogo, Hyogo, 671-2280, Japan.ORCID 0000-0002-1463-7892
Tetsuya IizukaSystems Design Laboratory, School of Engineering, The University of Tokyo, Tokyo, 113-0032, Japan.ORCID 0000-0002-1512-4714
Gouhei TanakaInternational Research Center for Neurointelligence (IRCN), The University of Tokyo, Tokyo, 113-0033, Japan.ORCID 0000-0002-6223-4406
Isao H InoueNational Institute of Advanced Industrial Science and Technology (AIST), Tsukuba, 305-8565, Japan.ORCID 0000-0002-6785-652X

Funding

Core Research for Evolutional Science and Technology JPMJCR19K2
6 · The paper itself

Abstract

Recent advances in neural network-based computing have enabled human-like information processing in areas such as image classification and voice recognition. However, many neural networks run on conventional computers that operate at GHz clock frequency and consume considerable power compared to biological neural networks, such as human brains, which work with a much slower spiking rate. Although many electronic devices aiming to emulate the energy efficiency of biological neural networks have been explored, achieving long timescales while maintaining scalability remains an important challenge. In this study, a field-effect transistor based on the oxide semiconductor strontium titanate (SrTiO

Indexed as

BrainNeural Networks, ComputerDiffusionHumansOxidesSemiconductorsStrontiumTitaniumTransistors, ElectronicOxidesStrontiumstrontium titanium oxideTitaniumdrift–diffusionleaky integrationneural networkoxygen vacancyreservoir computing

Identifiers

PMID39600216
PMCPMC11756045

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.