Cited by 497Neuroscience and Neuropharmacology ResearchNeural dynamics and brain functionMemory and Neural Mechanisms

Dendritic discrimination of temporal input sequences in cortical neurons

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Branco, Tiago, Clark, Beverley A., Häusser, Michael·2010·Science

Abstract

Discriminating Dendrites: Can dendrites read out spatiotemporal input sequences? Combining two-photon glutamate uncaging and two-photon calcium imaging, electrophysiology, and computational modeling, Branco et al. (p. 1671 , published online 12 August; see the Perspective by Destexhe ) discovered that single dendrites were indeed sensitive to both the direction and velocity of synaptic inputs. This direction- and velocity-sensitivity was measurable with only a few inputs and should thus be engaged frequently during normal brain function.

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Crossref · 10.1126/science.1189664

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

  • Detailed studies of synaptic integration in dendrites of cortical pyramidal neurons suggested the primary role of the voltage-dependent current through synaptic NMDA receptors, including at subthreshold and suprathreshold NMDA-spike regimes.

    “Detailed studies of synaptic integration in dendrites of cortical pyramidal neurons suggested the primary role of the voltage-dependent current through synaptic NMDA receptors, including at the subthreshold and suprathreshold (the NMDA-spike) regimes (Polsky, Mel, and Schiller 2004; Branco, Clark, and Häusser 2010).”

    From Single cortical neurons as deep artificial neural networks (2021) · cites this paper as Branco, Clark, and Häusser 2010

    The paper’s passage on direction and velocity sensitivity (section labeled Abstract; page unavailable) shows that synaptic NMDA receptors are important for voltage-dependent, supralinear integration in cortical pyramidal dendrites: blocking them abolished EPSP supralinearity. It does not establish the claimed distinction between subthreshold and suprathreshold NMDA-spike regimes; instead, it says the observed supralinearity developed gradually without a clear somatic threshold. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • The DNN predicted peak somatic voltage for random activation sequences of the 9 input synapses with a correlation coefficient of 0.99, superior to the directionality index proposed by Branco et al. with correlation 0.86.

    “Interestingly, our DNN acts as a much better predictor for the peak somatic voltage.”

    From Single cortical neurons as deep artificial neural networks (2021) · cites this paper as Branco, Clark, and Häusser 2010

    The supplied passage on ordered synaptic activation reports direction-sensitive somatic responses, supporting the connection to Branco et al.’s work. Our copy does not identify a directionality index or report a 0.86 correlation; the DNN’s 0.99 correlation is the citing authors’ own result, not a finding attributed to Branco et al. (LLM, conf=0.78)

    Experimental — accuracy not yet measured

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Cites

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Research works printed but not linked: 33

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Authors
Branco, T., Clark, B. A., & Häusser, M.
Affiliations
University College London (GB)
Corresponding author
Häusser, Michael
Venue
Science
Published
2010-09-24
Volume
329
Issue
5999
Pages
1671-1675
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2088955805
Cited by
497
References
2
Citations by year
2026: 29 · 2025: 27 · 2024: 41 · 2023: 33 · 2022: 20 · 2021: 40 · 2020: 23 · 2019: 48 · 2018: 19 · 2017: 22 · 2016: 28 · 2015: 24 · 2014: 24 · 2013: 48 · 2012: 43
FWCI
15.23
Type
journal article
Language
en
Open access
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
  • Europe PMC (PubMed Central) (acceptedVersion)
  • PubMed Central (acceptedVersion)
  • UCL Discovery (University College London) (submittedVersion)
  • The HKU Scholars Hub (University of Hong Kong) (submittedVersion)
Funders
Wellcome Trust (068080)
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
Keywords
cortical pyramidal neurons, dendritic calcium signaling, NMDA receptor activation, glutamate uncaging, dendritic computation
MeSH terms
Action Potentials, Animals, Calcium, Dendrites, Models, Neurological, Somatosensory Cortex, Synapses, Time Factors, Visual Cortex, Receptors, N-Methyl-D-Aspartate, Rats, Sprague-Dawley, Pyramidal Cells, Excitatory Postsynaptic Potentials, Calcium Signaling, Dendritic Spines, Rats

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