Interactions between PsyNeuLink and MDF
Simple
ABCD
Python source | JSON | Reconstructed source
An example with four Nodes, as in other environments.
SimpleLinear
SimpleLinear-conditional
Python source | JSON | Reconstructed source
A three-Node example with Conditions.
SimpleLinear-timing
Python source | JSON | Reconstructed source
The same model as in SimpleLinear-conditional with Conditions for timeline scheduling. Note: these conditions are still not fully implemented by the scheduler.
Nested
Nested without scheduling
Python source | JSON | Reconstructed source
A model with several Nodes in two Graphs, one of which contains the other.
Nested with scheduling
Python source | JSON | Reconstructed source
A similar model as in Nested without scheduling with Conditions.
SimpleFN
Python source | JSON | Reconstructed source
An example with a single Node using the PsyNeuLink implementation of the FitzHugh–Nagumo model.
SimpleFN-timing
Python source | JSON | Reconstructed source
The same model as in SimpleFN with Conditions for timeline scheduling. Note: these conditions are still not fully implemented by the scheduler.
SimpleFN-conditional
Python source | JSON | Reconstructed source
The same model in SimpleFN with scheduling Conditions that mimic the behavior in SimpleFN-timing.
Stroop
Python source | JSON | Reconstructed source
A model representing the Stroop effect with conflict monitoring that uses Conditions.