Cited by 950Neural dynamics and brain functionFunctional Brain Connectivity StudiesComplex Network Analysis Techniques

Communication in neuronal networks

Open access
Laughlin, Simon B., Sejnowski, Terrence J.·2003·Science

Abstract

Brains perform with remarkable efficiency, are capable of prodigious computation, and are marvels of communication. We are beginning to understand some of the geometric, biophysical, and energy constraints that have governed the evolution of cortical networks. To operate efficiently within these constraints, nature has optimized the structure and function of cortical networks with design principles similar to those used in electronic networks. The brain also exploits the adaptability of biological systems to reconfigure in response to changing needs.

Integrity signals

Registry

Crossref · 10.1126/science.1089662

Cites

50 of 50 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • Given the extremely high costs of building and maintaining nervous systems, neutral evolutionary processes are arguably less prevalent during nervous system evolution than for example in genome evolution.

    “Given the extremely high costs of building and maintaining nervous systems [10–12], neutral evolutionary processes are arguably less prevalent during nervous system evolution than for example in genome evolution [13].”

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Laughlin, S. B., & Sejnowski, T. J.
Affiliations
  • Salk Institute for Biological Studies (US)
  • Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK.
Venue
Science
Published
2003-09-26
Volume
301
Issue
5641
Pages
1870-1874
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1673584506
Cited by
950
References
50
Citations by year
2026: 38 · 2025: 63 · 2024: 43 · 2023: 44 · 2022: 48 · 2021: 50 · 2020: 46 · 2019: 57 · 2018: 37 · 2017: 48 · 2016: 36 · 2015: 34 · 2014: 46 · 2013: 44 · 2012: 43
FWCI
2.98
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
Funders
Howard Hughes Medical Institute
Topics
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Complex Network Analysis Techniques
Keywords
neuronal networks, cortical networks, brain efficiency, energy constraints, network structure optimization, biophysical constraints, network reconfiguration, brain evolution, neural communication
MeSH terms
Action Potentials, Animals, Brain, Cell Communication, Biological Evolution, Humans, Nerve Net, Synaptic Transmission, Neuronal Plasticity, Neurons

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review