Tabak2010_NeuronalNetworks

This a model from the article:
Mechanism for the universal pattern of activity in developing neuronal networks.

Tabak J, Mascagni M, Bertram R. J Neurophysiol
2010 Feb 17; [Epub ahead of print] 20164396
,
Abstract:

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. Here we use a modeling approach to explain this characteristic but
so far unexplained feature of developing networks. Because the correlation
pattern is observed in networks with different structures and components, a
satisfactory model needs to generate the right pattern of activity regardless of
the details of network architecture or individual cell properties. 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 then used a mean field model, where only average activity and
average level of recovery from synaptic depression are considered. In this
model, episode onset is highly sensitive to inputs. Thus, noise resulting from
random coincidences in the spike times of individual neurons led to the high
variability at episode onset and to the observed correlation pattern. This work
further demonstrates 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 model was taken from the CellML repository
and automatically converted to SBML.
The original model was:
Tabak J, Mascagni M, Bertram R. (2010) - version=1.0

The original CellML model was created by:
Geoffrey Nunns

[e-mail]
The University of Auckland
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