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Data
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Universal feature of developing networks (Tabak et al 2010) (CellML)
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Tom Morse - MoldelDB admin
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"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.
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Tabak J, Mascagni M, Bertram R (2010) Show
Other
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tom.morse@yale.edu
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