schedule_events(sheet_str='topo.sim[\'V1\']',
st=0.5,
aff_name='Afferent',
ids=1.0,
ars=1.0,
increase_inhibition=False)
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Convenience function for scheduling a default set of events
typically used with a LISSOM sheet. The parameters used
are the defaults from Miikkulainen, Bednar, Choe, and Sirosh
(2005), Computational Maps in the Visual Cortex, Springer.
Installs afferent learning rate changes for any projection whose
name contains the keyword specified by aff_name (typically
"Afferent").
The st argument determines the timescale relative to a
20000-iteration simulation, and results in the default
10000-iteration simulation for the default st=0.5.
The ids argument specifies the input density scale, i.e. how much
input there is at each iteration, on average, relative to the
default. The ars argument specifies how much to scale the
afferent learning rate, if necessary.
If increase_inhibition is true, gradually increases the strength
of the inhibitory connection, typically used for natural image
simulations.
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