rate_neuron_opn – Base class for rate model with output noise¶
Base class for rate model with output noise of the form
Here \(xi_j(t)\) denotes a Gaussian white noise.
This template class needs to be instantiated with a class containing the following functions:
input(nonlinearity that is applied to the input, either psi or phi)
mult_coupling_ex(factor of multiplicative coupling for excitatory input)
mult_coupling_in(factor of multiplicative coupling for inhibitory input)
The boolean parameter
linear_summation determines whether the input function
is applied to the summed up incoming connections (True, default value, input
represents phi) or to each input individually (False, input represents psi).
In case of multiplicative coupling the nonlinearity is applied separately
to the summed excitatory and inhibitory inputs if
See also .