1996
DOI: 10.1016/0165-0270(95)00095-x
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Maxsim, software for the analysis of multiple axonal arbors and their simulated activation

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Cited by 20 publications
(25 citation statements)
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“…Therefore, both dendritic structure and the spatio-temporal pattern of innervating postsynaptic potentials play an important role in the transformation of dendritic-synaptic activity into the time structure of the generated action potentials. Spike timing is also influenced by the structure of axonal arborisations as was shown by Innocenti et al (1994) and Tettoni et al (1996) in a computational study of action potential propagation and spread in arrival times in reconstructed axonal arbors. The axons in this study were modeled as diameter-dependent delay lines.…”
Section: Modeling Neuronal Functionmentioning
confidence: 98%
“…Therefore, both dendritic structure and the spatio-temporal pattern of innervating postsynaptic potentials play an important role in the transformation of dendritic-synaptic activity into the time structure of the generated action potentials. Spike timing is also influenced by the structure of axonal arborisations as was shown by Innocenti et al (1994) and Tettoni et al (1996) in a computational study of action potential propagation and spread in arrival times in reconstructed axonal arbors. The axons in this study were modeled as diameter-dependent delay lines.…”
Section: Modeling Neuronal Functionmentioning
confidence: 98%
“…Reconstructed neurons were quantitatively analyzed with NeuroExplorer (MicroBrightField) and the programs that we wrote to obtain the bouton density and branching angles. The algorithm for measuring curvilinear distances between boutons (interbouton interval) was kindly provided by Dr. L. Tettoni (Lausanne University, Lausanne, Switzerland) (Tettoni et al, 1996(Tettoni et al, , 1998. Curve fitting of the distribution histogram was performed by IGOR Pro.…”
Section: Methodsmentioning
confidence: 99%
“…From the distribution of axonal diameters of each cortical area, we had obtained an estimation of the relative distribution of conduction velocities and delays. For each axon, the conduction velocity was calculated as Vc ϭ (5.5/g) ϫ d (m/s), where g is the ratio between the axoplasm d and the fiber diameter D inclusive of the myelin sheath and g ϭ 0.7 (see Tettoni et al, 1996). Then, the conduction delay of each axon was estimated as To account for all potential sources of variability, three different methods were used to compute the conduction delays from different areas to the CC midline.…”
Section: Measuring Axon Diameter and Length And Estimating Conductionmentioning
confidence: 99%