The lin_01 model implements a 1-D linear filter followed by spike train generation. It also may contain any number of units in a second layer, defined by unit objects, that combine the spikes from the linear unit with independently generated Poisson spikes.
lin_01 models are defined using the following objects and parameters:
# # lin_01.moo # mod_type lin_01 tscale 0.001 tn 1024 <filter> ... </filter> <spike_gen> ... </spike_gen> <unit> # OPTIONAL ... </unit>
The following command allows users to output the temporal filter itself:
This includes the temporal kernel and the Gaussian mask, which multiplies the biphasic kernel to adjust the size of the positive and negative lobes.
The following response types can be requested: