Evidence map›Paper›PMID 31585331›Full record

ReviewCurrent opinion in neurobiology2019

New perspectives on dimensionality and variability from large-scale cortical dynamics.

Tatiana A Engel, Nicholas A Steinmetz

Abstract readReview
In one paragraph

Review in Current opinion in neurobiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. BRAID: Input-driven nonlinear dynamical modeling of neural-behavioral data.... International Conference on Learning Representations · 2025
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Why is everyone talking about brain state?Trends in neurosciences · 2023
    Review
  13. Article
  14. Article
  15. Article
  16. How far neuroscience is from understanding brains.Frontiers in systems neuroscience · 2023
    Article
  17. Computational methods to study information processing in neural circuits.Computational and structural biotechnology journal · 2023
    Review
  18. Review
  19. Review
  20. 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

2 authors.

Tatiana A EngelCold Spring Harbor Laboratory, Cold Spring Harbor, NY 11724, United States. Electronic address: engel@cshl.edu.
Nicholas A SteinmetzDepartment of Biological Structure, University of Washington, Seattle, WA 98195, United States. Electronic address: nick.steinmetz@gmail.com.

Funding

Discovering dynamic computations from large-scale neural activity recordingsR01EB026949 · NIBIB · COLD SPRING HARBOR LABORATORY · PI ENGEL, TATIANA · 2018 to 2020
$1.3M
NIBIB NIH HHS R01 EB026949
6 · The paper itself

Abstract

The neocortex is a multi-scale network, with intricate local circuitry interwoven into a global mesh of long-range connections. Neural activity propagates within this network on a wide range of temporal and spatial scales. At the micro scale, neurophysiological recordings reveal coordinated dynamics in local neural populations, which support behaviorally relevant computations. At the macro scale, neuroimaging modalities measure global activity fluctuations organized into spatiotemporal patterns across the entire brain. Here we review recent advances linking the local and global scales of cortical dynamics and their relationship to behavior. We argue that diverse experimental observations on the dimensionality and variability of neural activity can be reconciled by considering how activity propagates in space and time on multiple spatial scales.

Indexed as

Neocortex

Identifiers

PMID31585331
PMCPMC6859189

What OpenQuestion holds

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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.