Propagation of action potentials in dendrites depends on dendritic morphology.
By P. Vetter, Arnd Roth, Michael Häusser. Journal of Neurophysiology, 2001
622 citations recorded by the source corpus.
Subfields: Cellular and Molecular Neuroscience, Cognitive Neuroscience
View Paper: https://www.semanticscholar.org/paper/a65600fde72fa9ff8eb68f51b04d2268952fac7f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cellular and Molecular Neuroscience
- Idan Segev
- Nelson Spruston
- Henry Markram
- Felix Schürmann
- Sean L. Hill
- Etay Hay
- Mark T. Harnett
- Ning-long Xu
In Cognitive Neuroscience
- Idan Segev
- Henry Markram
- Nelson Spruston
- Felix Schürmann
- Sean L. Hill
- Etay Hay
- Giorgio A. Ascoli
- Stephen R. Williams
Citations in the corpus
- Pyramidal neurons: dendritic structure and synaptic integration (2008, background): “Dendritic morphology also affects backpropagation, as branching promotes the attenuation and failure of backpropagating action potential”
- Potassium channels control the interaction between active dendritic integration compartments in layer 5 cortical pyramidal neurons. (2013, positive): “The decremental spread of local spikes from thin caliber, high apparent input resistance tuft dendrites to the larger diameter dendritic trunk directly supports theoretical analysis (Vetter et al., 2001), suggesting that the trunk represents a large electrical load.”
- Burst timing-dependent plasticity of NMDA receptor-mediated transmission in midbrain dopamine neurons: A putative cellular substrate for reward learning (2009, neutral): “The functional impact of this dramatic morphological phenotype is unclear; it may operate to “privilege” one set of dendrites over another, in either controlling axonal output or backpropagation through the rest of the arbor (Gentet and Williams, 2007; Vetter et al., 2001).”
- L-Measure: a web-accessible tool for the analysis, comparison and search of digital reconstructions of neuronal morphologies (2008, background): “and dendritic branching patterns both among different cell type”
- Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties (2011, background): “This finding is in agreement with a previous study [50] that showed an inverse correlation between dendritic transfer impedance and the apical Nat density required for the active BAP seen experimentally.”
- Dendritic excitability and synaptic plasticity. (2008, neutral): “The addition of spines therefore increases the impedance load posed by the dendritic tree on the soma, thus rendering AP backpropagation less reliable (802) (see sect.”