Evidence map›Paper›PMID 39028955›Full record

ArticleNeural computation2024

A General, Noise-Driven Mechanism for the 1/f-Like Behavior of Neural Field Spectra.

Mark A Kramer, Catherine J Chu

Abstract read
In one paragraph

Article in Neural computation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Mark A KramerDepartment of Mathematics and Statistics, and Center for Systems Neuroscience, Boston University, Boston, MA 02214, U.S.A. mak@bu.edu.
Catherine J ChuDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Boston, MA 02114, U.S.A. cjchu@mgh.harvard.edu.

Funding

Targeting Pathologic Spike-Ripples to Isolate and Disrupt Epileptic DynamicsR01NS119483 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI CHU, CATHERINE J · 2021 to 2025
$3.4M
Neuroscience Resident Research ProgramUE5NS065743 · NINDS · MASSACHUSETTS GENERAL HOSPITAL · PI SYDNEY S CASH, Ziv Williams · 2024 to 2026
$2.6M
Understanding the Fast and Slow Spatiotemporal Dynamics of Human SeizuresR01NS110669 · NINDS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI CASH, SYDNEY S, EDEN, URI TZVI · 2019 to 2023
$2.3M
NINDS NIH HHS R01 NS110669NINDS NIH HHS R01 NS119483NINDS NIH HHS UE5 NS065743
6 · The paper itself

Abstract

Consistent observations across recording modalities, experiments, and neural systems find neural field spectra with 1/f-like scaling, eliciting many alternative theories to explain this universal phenomenon. We show that a general dynamical system with stochastic drive and minimal assumptions generates 1/f-like spectra consistent with the range of values observed in vivo without requiring a specific biological mechanism or collective critical behavior.

Indexed as

Models, NeurologicalNeuronsAction PotentialsAnimalsHumansNeural Networks, ComputerStochastic Processes

Identifiers

PMID39028955
PMCPMC12828791

What OpenQuestion holds

Textmetadata
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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.