Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Ron eMeir"'
Autor:
Daniel eSoudry, Ron eMeir
Publikováno v:
Frontiers in Computational Neuroscience, Vol 8 (2014)
Long term temporal correlations frequently appear at many levels of neural activity. We show that when such correlations appear in isolated neurons, they indicate the existence of slow underlying processes and lead to explicit conditions on the dynam
Externí odkaz:
https://doaj.org/article/bd8ad91680ad4592920b0ca051391f2e
Autor:
Daniel eSoudry, Ron eMeir
Publikováno v:
Frontiers in Computational Neuroscience, Vol 8 (2014)
Many biological systems are modulated by unknown slow processes. This can severely hinder analysis - especially in excitable neurons, which are highly non-linear and stochastic systems. We show the analysis simplifies considerably if the input matche
Externí odkaz:
https://doaj.org/article/43939fe686fe4474bea2bbd003a8e4a3
Autor:
Daniel eSoudry, Ron eMeir
Publikováno v:
Frontiers in Computational Neuroscience, Vol 6 (2012)
In recent experiments, synaptically isolated neurons from rat cortical culture, were stimulated with periodic extra-cellular fixed-amplitude current pulses for extended durations of days. The neuron's response depended on its own history, as well as
Externí odkaz:
https://doaj.org/article/c5ec42fd9f7a4e5ba4579f69d7f3f7c1