Modulatory Mechanisms

Overview

A ModulatoryMechanism is a type of Mechanism that modifies the operation of one or more other Components. In general, a ModulatoryMechanism receives its input from an ObjectiveMechanism, however this need not be the case.

There are two primary types of ModulatoryMechanism:

See ModulatorySignal for conventions used for the names of Modulatory components.

A single Modulatory Mechanisms can be assigned more than one ModulatorySignal of the appropriate type, each of which can be assigned different control_allocations (for ControlSignals) or learning_signals (for LearningSignals). A single ModulatorySignal can also be assigned multiple ModulatoryProjections; however, as described in ModulatoryProjections, they will all be assigned the same variable.

Creating a ModulatoryMechanism

A ModulatoryMechanism can be created by using the standard Python method of calling the constructor for the desired type. ModulatoryMechanisms of the appropriate subtype are also created automatically when other Components are created that require them, or a form of modulation is specified for them. For example, a ControlMechanism is automatically created as part of a System (for use as its controller), or when control is specified for the parameter of a Mechanism; and one or more LearningMechanism are created when learning is specified for a Process or a System (see the documentation for subtypes of ModulatoryMechanisms for more specific information about how to create them).

Structure

A ModulatoryMechanism has the same basic structure as a Mechanism. In addition, every ModulatoryMechanism has a modulation attribute, that determines the default method by which its ModulatorySignals modify the value of the Components that they modulate (see the modulation for a description of how modulation operates, and the documentation for individual subtypes of ModulatoryMechanism for more specific information about their structure and modulatory operation).

Execution

LearningMechanism and ControlMechanism are always executed at the end of a TRIAL, after all ProcessingMechanisms in the Process or System to which they belong have been executed; all LearningMechanism executed first, and then ControlMechanism. All modifications made are available during the next TRIAL. GatingMechanism are executed in the same manner as ProcessingMechanisms; however, because they almost invariably introduce recurrent connections, care must be given to their initialization and/or scheduling).

Class Reference

class psyneulink.core.components.mechanisms.modulatory.modulatorymechanism.ModulatoryMechanism_Base(default_variable, size, modulation, params, name, prefs, context=None, function=None, **kwargs)

Subclass of Mechanism that modulates the value(s) of one or more other Component(s).

Note

ModulatoryMechanism is an abstract class and should NEVER be instantiated by a call to its constructor. They should be instantiated using the constructor for a subclass.

modulation

ModulationParam – determines how the output of the ModulatoryMechanism’s ModulatorySignal(s) are used to modulate the value of the State(s) to which their ModulatoryProjection(s) project.