Results 31 to 40 of about 63,189 (307)
Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons
Cerebral Cortex, 2021 Abstract Many investigators who make extracellular recordings from populations of cortical neurons are now using spike shape parameters, and particularly spike duration, as a means of classifying different neuronal sub-types. Because of the nature of the experimental approach, particularly that involving nonhuman primates, it is very ...
Lemon RN, Baker SN, Kraskov A
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Extracting non-linear integrate-and-fire models from experimental data using dynamic I–V curves [PDF]
, 2008 The dynamic I–V curve method was recently introduced for the efficient experimental generation of reduced neuron models. The method extracts the response properties of a neuron while it is subject to a naturalistic stimulus that mimics in vivo-like ...
Wulfram Gerstner +11 more
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Computational capacity of pyramidal neurons in the cerebral cortex [PDF]
Brain Research, 2020 The electric activities of cortical pyramidal neurons are supported by structurally stable, morphologically complex axo-dendritic trees. Anatomical differences between axons and dendrites in regard to their length or caliber reflect the underlying functional specializations, for input or output of neural information, respectively.
Georgiev, Danko D. +3 more
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Postnatal development of dendritic calcium signaling in rat hippocampal pyramidal cells [PDF]
, 2013 In CA1 pyramidal neurons, dendritic calcium transients in stratum radiatum were evoked in acute slices via backpropagating action potentials using patch clamp recordings.
Pohle, Jörg
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Branch-specific plasticity enables self-organization of nonlinear computation in single neurons [PDF]
, 2011 It has been conjectured that nonlinear processing in dendritic branches endows individual neurons with the capability to perform complex computational operations that are needed in order to solve for example the binding problem.
Maass, Wolfgang, Legenstein, Robert
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Frontiers in Neuroanatomy, 2011 The most ubiquitous neuron in the cerebral cortex, the pyramidal cell, is characterised by markedly different dendritic structure among different cortical areas. The complex pyramidal cell phenotype in granular prefrontal cortex (gPFC) of higher primates
Guy eElston +4 more
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Frontiers in Synaptic Neuroscience, 2023 Synaptic plasticity is believed to be a key mechanism underlying learning and memory. We developed a phenomenological N-methyl-D-aspartate (NMDA) receptor-based voltage-dependent synaptic plasticity model for synaptic modifications at hippocampal CA3-CA1
Justinas J. Dainauskas +4 more
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A universal model for spike-frequency adaptation [PDF]
, 2003 Spike-frequency adaptation is a prominent feature of neural dynamics. Among other mechanisms, various ionic currents modulating spike generation cause this type of neural adaptation.
Andreas V. M. Herz +3 more
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General Anesthesia Decouples Cortical Pyramidal Neurons [PDF]
Cell, 2020 The mystery of general anesthesia is that it specifically suppresses consciousness by disrupting feedback signaling in the brain, even when feedforward signaling and basic neuronal function are left relatively unchanged. The mechanism for such selectiveness is unknown.
Mototaka, Suzuki, Matthew E, Larkum
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The influence of GABAergic signaling on dendritic processing [PDF]
, 2013 GABAergic (?-aminobutyric acid-releasing) signaling plays a crucial role in integration processes of pyramidal neurons. Specific subtypes of GABA releasing interneurons innervate different compartments of pyramidal neurons; thereby modulating the ...
Willadt, Silvia
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