Evidence map›Paper›PMID 33504773›Full record

ArticleNature communications2021

Measurement, manipulation and modeling of brain-wide neural population dynamics.

Krishna V Shenoy, Jonathan C Kao

Abstract read
In one paragraph

Article in Nature communications, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Control of cortical population activity with patterned microstimulation.bioRxiv : the preprint server for biology · 2026
    Article
  5. Article
  6. Article
  7. Broadband synergy versus oscillatory redundancy in the visual cortex.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. BRAID: Input-driven nonlinear dynamical modeling of neural-behavioral data.... International Conference on Learning Representations · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

2 authors.

Krishna V ShenoyDepartment of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA. shenoy@stanford.edu.ORCID 0000-0003-1534-9240
Jonathan C KaoDepartment of Electrical and Computer Engineering, University of California, Los Angeles, Los Angeles, CA, USA.

Funding

Engaging new cognitive and motor signals to improve communication prosthesesR01DC014034 · NIDCD · STANFORD UNIVERSITY · PI JAIMIE M HENDERSON · 2015 to 2026
$8.2M
Understanding the Neural Basis of Volitional State through Continuous Recordings in HumansU01NS098968 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CASH, SYDNEY S · 2016 to 2018
$4.7M
Intuitive, complete neural control of tablet computers for communicationU01DC017844 · NIDCD · BROWN UNIVERSITY · PI HOCHBERG, LEIGH R · 2019 to 2025
$4.3M
High-Bandwidth Wireless Interfaces for Continuous Human Intracortical RecordingUH2NS095548 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI HOCHBERG, LEIGH R, NURMIKKO, ARTO · 2015 to 2019
$3.7M
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
Howard Hughes Medical InstituteNIDCD NIH HHS R01 DC014034NIDCD NIH HHS U01 DC017844NINDS NIH HHS DP2 NS122037NINDS NIH HHS U01 NS098968NINDS NIH HHS UH2 NS095548
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Models, NeurologicalBrainHumansNerve Net

Identifiers

PMID33504773
PMCPMC7840924

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.