Evidence map›Paper›PMID 37502862›Full record

ArticlebioRxiv : the preprint server for biology2025

The information bottleneck as a principle underlying multi-area cortical representations during decision-making.

Michael Kleinman, Tian Wang, Derek Xiao, Ebrahim Feghhi, Kenji Lee, Nicole Carr, Yuke Li, Nima Hadidi, Chandramouli Chandrasekaran, Jonathan C Kao

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

10 authors.

Michael KleinmanDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.ORCID 0000-0002-4643-538X
Tian WangDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Derek XiaoDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.
Ebrahim FeghhiNeurosciences Program, University of California, Los Angeles, CA, USA.
Kenji LeeDepartment of Psychological and Brain Sciences, Boston University, Boston, MA, USA.
Nicole CarrDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Yuke LiDepartment of Biomedical Engineering, Boston University, Boston, MA, USA.
Nima HadidiNeurosciences Program, University of California, Los Angeles, CA, USA.
Chandramouli ChandrasekaranDepartment of Anatomy & Neurobiology, Boston University School of Medicine, Boston, MA, USA.
Jonathan C KaoDepartment of Electrical and Computer Engineering, University of California, Los Angeles, CA, USA.

Funding

Multimodal Characterization of Prefrontal and Premotor Circuits Underlying Perceptual Decision Making in Therhesus MonkeyR01NS122969 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHANDRASEKARAN, CHANDRAMOULI, LUEBKE, JENNIFER I · 2021 to 2025
$3.1M
Next generation brain-machine interfaces controlled synergistically with artificial intelligenceDP2NS122037 · NINDS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI KAO, JONATHAN CHAU-YAN · 2020 to 2020
$2.3M
Linking Motor Cortex Activity and Movement in the Mouse Orofacial SystemR01NS121409 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI Michael Nicholas Economo · 2022 to 2026
$2.1M
Organization and Dynamics of Premotor and Prefrontal Cortical Circuits Mediating Goal-Directed BehaviorR00NS092972 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHANDRASEKARAN, CHANDRAMOULI · 2018 to 2020
$747k
Causal Roles of Dorsolateral Prefrontal and Dorsal Premotor Cortex in Perceptual Decision-MakingR21NS135361 · NINDS · BOSTON UNIVERSITY MEDICAL CAMPUS · PI CHANDRASEKARAN, CHANDRAMOULI, RUSHMORE, RICHARD JARRETT · 2023 to 2023
$437k
NINDS NIH HHS DP2 NS122037NINDS NIH HHS R00 NS092972NINDS NIH HHS R01 NS121409NINDS NIH HHS R01 NS122969NINDS NIH HHS R21 NS135361
6 · The paper itself

Abstract

Decision-making emerges from distributed computations across multiple brain areas, but it is unclear

Indexed as

Decision-makingInformation BottleneckMultiple Brain AreasRecurrent Neural Networks (RNNs)

Identifiers

PMID37502862
PMCPMC10369960

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.