Computational model
Universal feature of developing networks (Tabak et al 2010) (CellML)
Tom Morse - MoldelDB admin
weblink12a [115532]
"Spontaneous episodic activity is a fundamental mode of operation of developing networks. Surprisingly, the duration of an episode of activity correlates with the length of the silent interval that precedes it, but not with the interval that follows. ... We thus developed simple models incorporating excitatory coupling between heterogeneous neurons and activity-dependent synaptic depression. These models robustly generated episodic activity with the correct correlation pattern. The correlation pattern resulted from episodes being triggered at random levels of recovery from depression while they terminated around the same level of depression. To explain this fundamental difference between episode onset and termination, we used a mean field model, where only average activity and average level of recovery from synaptic depression are considered. ... This work further shows that networks with widely different architectures, different cell types, and different functions all operate according to the same general mechanism early in their development." This modeldb entry only has the mean field model as networks are not implementable currently in CellML.
  • Tabak J, Mascagni M, Bertram R (2010) Show Other
Other categories referring to Universal feature of developing networks (Tabak et al 2010) (CellML)
Revisions: 4
Last Time: 12/5/2018 4:48:01 PM
Reviewer: Tom Morse - MoldelDB admin
Owner: Tom Morse - MoldelDB admin