Open-source, graph-based Python code generator and analysis toolbox for dynamical systems (pre-implemented and custom models). Most pre-implemented models belong to the family of neural population models.
Right now I couldn't find a way how to initialize variables. By default, all variables (input, output, variable) are initialized at 0. When using a variable in equations as e.g.
tau_h = ...
h = (1/tau_h) ...
the compile method (I must add correctly) throws
ValueError: Result of operation (numpy_multiply) contains NaNs or infinite values.
It would be nice to give the users an option to initialize integration variables with some non-zero values.
Right now I couldn't find a way how to initialize variables. By default, all variables (
input
,output
,variable
) are initialized at 0. When using a variable in equations as e.g.the
compile
method (I must add correctly) throwsIt would be nice to give the users an option to initialize integration variables with some non-zero values.