Evidence map›Paper›PMID 42427797›Full record

ArticlebioRxiv : the preprint server for biology2026

Learning Shapes the Energy Cost of Neural Tasks.

Kaili Xue, Farid Rezayat, Tianbo Qi, Leyao Shen, Bohan Zhao, Xun Huang, Jonathan S Marvin, Li Ye

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Kaili XueDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.
Farid RezayatDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.
Tianbo QiDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.
Leyao ShenDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.
Bohan ZhaoDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.
Xun HuangDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.
Jonathan S MarvinHoward Hughes Medical Institute, Janelia Research Campus, Ashburn, VA.
Li YeDepartment of Neuroscience, Dorris Neuroscience Center, Scripps Research; San Diego, CA, USA.

Funding

Brain-wide mapping of neuronal inhibition by novel inverse activity markersRF1MH132570 · NIMH · SCRIPPS RESEARCH INSTITUTE, THE · PI YE, LI · 2023 to 2023
$3.0M
Neural Mechanisms of Energy Expenditure-Induced Compensatory Food IntakeR01DK134609 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI Li Ye · 2023 to 2026
$2.8M
Modulating somatosensory network to target metabolic diseasesDP2DK128800 · NIDDK · SCRIPPS RESEARCH INSTITUTE, THE · PI YE, LI · 2020 to 2020
$2.7M
NIDDK NIH HHS DP2 DK128800NIDDK NIH HHS R01 DK134609NIMH NIH HHS RF1 MH132570
6 · The paper itself

Abstract

The stark difference in energy use between AI systems and biological brains highlights both the remarkable efficiency of the brain and our limited understanding of the energetics underlying neural computation. Although efficiency is widely cited as a principle of neural design, direct measurement of the energy cost of specific neural tasks within their corresponding circuits has remained limited. Here, by simultaneously measuring intracellular glucose and calcium dynamics in the same behaving mice

Identifiers

PMID42427797
PMCPMC13345034

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.