Cited by 220Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionAdvanced Memory and Neural Computing

Signal enhancement in distal cortical dendrites by means of interactions between active dendritic spines

Open access
Shepherd, G M, Brayton, R K, Miller, J P, Segev, I, Rinzel, J, Rall, W·1985·Proceedings of the National Academy of Sciences

Abstract

Pyramidal neurons in the cerebral cortex characteristically give rise to an apical dendrite, whose distal dendritic branches in layer I are covered with spines. These spines are known to be sites of synaptic connections, but the physiological properties of the spines and the functional significance of their responses are still largely unknown. The main function attributed thus far to these synaptic responses, situated at a great distance from the neuronal cell body, is slow background modulation of impulse output in the axon. In pursuing computer simulation analysis of electrical properties of dendrites, we have obtained results suggesting interactions between distal dendritic spines. If the heads of dendritic spines have excitable membrane properties, the spread of current from one or several spines could bring adjacent spines to their thresholds for impulse generation. This could give rise to a sequence of spine head action potentials, representing a saltatory propagation, from one or more excitable spine heads to nearby excitable spine heads, in the distal dendritic branches. Both the amplification due to several spine action potentials and the possibility of propagation into more proximal branches would increase the efficacy of distal synaptic inputs. Because of nonlinear dependence upon several modifiable parameters (such as spine stem resistance and membrane excitability) and upon the spatio-temporal pattern of synaptic input, such contingent synaptic enhancement would…

Integrity signals

Registry

Crossref · 10.1073/pnas.82.7.2192

Cites

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?

  • As a consequence of their inherent nonlinear mechanisms, neurons can implement highly complicated I/O functions.

    “Indeed, as a consequence of their inherent nonlinear mechanisms, neurons can implement highly complicated I/O functions (Poirazi, Brannon, and Mel 2003b; Shepherd et al. 1985;”

    From Single cortical neurons as deep artificial neural networks (2021) · cites this paper as Shepherd et al. 1985

Cited by

Sorted by citations

Authors
Shepherd, G. M., Brayton, R. K., Miller, J. P., Segev, I., Rinzel, J., & Rall, W.
Affiliations
Yale University (US)
Venue
Proceedings of the National Academy of Sciences
Published
1985-04
Volume
82
Issue
7
Pages
2192-2195
ISSN
  • 0027-8424 (ISSN-L)
  • 1091-6490
OpenAlex
W2062820369
Cited by
220
References
0
Citations by year
2025: 1 · 2024: 1 · 2023: 1 · 2022: 5 · 2021: 3 · 2020: 6 · 2019: 1 · 2018: 2 · 2017: 1 · 2016: 3 · 2015: 3 · 2014: 4 · 2013: 16 · 2012: 1
FWCI
5.96
Type
journal article
Language
en
Open access
Locations
  • Proceedings of the National Academy of Sciences (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Science Foundation (8202416)
  • Alfred P. Sloan Foundation
  • Yale University
  • National Institute of Neurological Disorders and Stroke (NS-07609)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Physical Sciences › Engineering › Electrical and Electronic Engineering › Advanced Memory and Neural Computing
Keywords
dendritic spines, distal dendrites, pyramidal neurons, dendritic excitability, synaptic plasticity
MeSH terms
Dendrites, Humans, Models, Neurological, Synapses

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