Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Erik eDe Schutter"'
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 9 (2015)
Externí odkaz:
https://doaj.org/article/ff7b8eb6eba349bc862d5e5e3206cf73
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 9 (2015)
In their seminal works on squid giant axons, Hodgkin and Huxley approximated the membrane leak current as Ohmic, i.e. linear, since in their preparation, sub-threshold current rectification due to the influence of ionic concentration is negligible. M
Externí odkaz:
https://doaj.org/article/1968a0fb2ba4472ba767cffe91d6eb58
Autor:
Pascal eWarnaar, Joao eCouto, Mario eNegrello, Marc eJunker, Aleksandra eSmilgin, Alla eIgnashchenkova, Michele eGiugliano, Peter eThier, Erik eDe Schutter
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 9 (2015)
AbstractClimbing fiber (CF) triggered complex spikes (CS) are massive depolarization bursts in the cerebellar Purkinje cell, showing several high frequency spikelet components (±600 Hz). Since its early observations, the CS is known to vary in shape
Externí odkaz:
https://doaj.org/article/a61a7735955543feb37d1e24b1fe218e
Publikováno v:
Frontiers in Neuroanatomy, Vol 8 (2014)
Neuronal morphologies are pivotal for brain functioning: physical overlap between dendrites and axons constrain the circuit topology, and the precise shape and composition of dendrites determine the integration of inputs to produce an output signal.
Externí odkaz:
https://doaj.org/article/04efb0f423fd410a8ab321e56986d3f9
Autor:
Haroon eAnwar, Christopher J. Roome, Hermina eNedelescu, Weiliang eChen, Bernd eKuhn, Erik eDe Schutter
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 8 (2014)
There is growing interest in understanding calcium dynamics in dendrites, both experimentally and computationally. Many processes influence these dynamics, but in dendrites there is a strong contribution of morphology because the peak calcium levels
Externí odkaz:
https://doaj.org/article/eaabd525ecd348899f72e79a22a853e8
Autor:
Weiliang eChen, Erik eDe Schutter
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
STEPS is a stochastic reaction-diffusion simulation engine that implements a spatial extension of Gillespie’s Stochastic Simulation Algorithm (SSA) in complex tetrahedral geometries. An extensive Python-based interface is provided to STEPS so that
Externí odkaz:
https://doaj.org/article/c97a970d853342f2bf8773930968a635
Publikováno v:
Frontiers in Cellular Neuroscience, Vol 7 (2013)
The complex spike (CS) in cerebellar Purkinje Cells (PC) is not an all-or-nothing phenomena as originally proposed, but shows variability depending on the spiking behavior of the Inferior Olive and intrinsic variability in the number and shape of spi
Externí odkaz:
https://doaj.org/article/70189205def4439b929f26c60e294951
Publikováno v:
Frontiers in Computational Neuroscience, Vol 7 (2013)
We describe a novel method for calculating the quasi-static electrical potential on tetrahedral meshes, which we call E-Field. The E-Field method is implemented in STEPS, which performs stochastic spatial reaction-diffusion computations in tetrahedra
Externí odkaz:
https://doaj.org/article/68efd846f6d94a3ea7fedec45d6c433e