• Github
Table of Contents
0.16.1.0
  • Welcome to PsyNeuLink
  • Basics and Primer
  • Quick Reference
  • Core
  • Library
  • Contributors Guide
  • Docs >
  • Library >
  • Subsystems >
  • AGT >
  • AGTControlMechanism
Shortcuts

AGTControlMechanism¶

Contents¶

  • Overview

  • Creating an AGTControlMechanism

  • Structure
    • Input: ObjectiveMechanism and Monitored OutputPorts

    • Function

    • Output

  • Execution

  • Class Reference

Overview¶

An AGTControlMechanism is a ControlMechanism that uses an ObjectiveMechanism with a DualAdaptiveIntegrator Function to regulate its control_allocation. When used with an LCControlMechanism to regulate the mode parameter of its FitzHughNagumoIntegrator Function, it implements a form of the Adaptive Gain Theory of the locus coeruleus-norepinephrine (LC-NE) system.

Creating an AGTControlMechanism¶

An AGTControlMechanism can be created in any of the ways used to create a ControlMechanism.

Like all ControlMechanisms, an AGTControlMechanism it receives its input from an ObjectiveMechanism. However, unlike standard ControlMechanism, an AGTControlMechanism does not have an objective_mechanism argument in its constructor. When an AGTControlMechanism is created, it automatically creates an ObjectiveMechanism and assigns a DualAdaptiveIntegrator Function as its function.

The OutputPorts to be monitored by the AGTControlMechanism’s objective_mechanism are specified using the monitored_output_ports argument of the AGTControlMechanism’s constructor, using any of the ways to specify the OutputPorts monitored by ObjectiveMechanism. The monitored OutputPorts are listed in the LCControlMechanism’s monitored_output_ports attribute, as well as that of its objective_mechanism.

The parameter(s) controlled by an AGTControlMechanism are specified in the control_signals argument of its constructor, in the standard way for a ControlMechanism.

Structure¶

Input: ObjectiveMechanism and Monitored OutputPorts¶

An AGTControlMechanism has a single (primary) InputPort that receives its input via a MappingProjection from the OUTCOME OutputPort of an ObjectiveMechanism. The ObjectiveMechanism is created automatically when the AGTControlMechanism is created, using a DualAdaptiveIntegrator as its function, and is listed in the AGTControlMechanism’s objective_mechanism attribute. The ObjectiveMechanism aggregates the values of the OutputPorts that it monitors, integrates their aggregated value at two different rates, and combines those to generate the its output, which is used by the AGTControlMechanism as its input. The OutputPorts monitored by the ObjectiveMechanism, listed in its monitored_output_ports attribute, are also listed in the AGTControlMechanism’s monitored_output_ports attribute. They can be displayed using the AGTControlMechanism’s show method.

Function¶

An AGTControlMechanism uses the default function for a ControlMechanism (a default Linear Function), that simply passes its input to its output. Thus, it is the output of the AGTControlMechanism’s objective_mechanism that determines its control_allocation and the allocation of its ControlSignal(s).

Output¶

An AGTControlMechanism has a ControlSignal for each parameter specified in its control_signals attribute, that sends a ControlProjection to the ParameterPort for the corresponding parameter. ControlSignals are a type of OutputPort, and so they are also listed in the AGTControlMechanism’s output_ports attribute. The parameters modulated by an AGTControlMechanism’s ControlSignals can be displayed using its show method. By default, all of its ControlSignals are assigned the result of the AGTControlMechanism’s function, which is the input it receives from its objective_mechanism. above). The allocation is used by the ControlSignal(s) to determine their intensity, which is then assigned as the value of the ControlSignal’s ControlProjection. The value of the ControlProjection is used by the ParameterPort to which it projects to modify the value of the parameter it controls (see Modulation for description of how a ControlSignal modulates the value of a parameter).

Execution¶

An AGTControlMechanism’s function takes as its input the value of its OUTCOME input_port, and uses that to determine its control_allocation which specifies the value assigned to the allocation of each of its ControlSignals. An AGTControlMechanism assigns the same value (the input it receives from its objective_mechanism to all of its ControlSignals. Each ControlSignal uses that value to calculate its intensity, which is used by its ControlProjection(s) to modulate the value of the ParameterPort(s) for the parameter(s) it controls, which are then used in the subsequent TRIAL of execution.

Note

A ParameterPort that receives a ControlProjection does not update its value until its owner Mechanism executes (see Lazy Evaluation for an explanation of “lazy” updating). This means that even if a ControlMechanism has executed, a parameter that it controls will not assume its new value until the Mechanism to which it belongs has executed.

Class Reference¶

class psyneulink.library.components.mechanisms.modulatory.control.agt.agtcontrolmechanism.AGTControlMechanism(monitored_output_ports=None, function=None, control_signals=None, modulation=None, params=None, name=None, prefs=None)¶

Subclass of ControlMechanism that modulates the multiplicative_param of the function of one or more Mechanisms. See ControlMechanism for additional arguments and attributes.

Parameters
  • monitored_output_ports (List[OutputPort, Mechanism, str, value, dict, MonitoredOutputPortsOption] or Dict) – specifies the OutputPorts to be monitored by the objective_mechanism (see monitored_output_ports for details of specification).

  • control_signals (List[ParameterPort, tuple[str, Mechanism] or dict]) – specifies the parameters to be controlled by the AGTControlMechanism; a ControlSignal is created for each (see Specifying ControlSignals for details of specification).

objective_mechanism¶

ObjectiveMechanism that monitors and evaluates the values specified in the ControlMechanism’s objective_mechanism argument, the output of which is used as input to the AGTControlMechanism. It is created automatically when AGTControlMechanism is created, and uses as a DualAdaptiveIntegrator as is function.

Type

ObjectiveMechanism

monitored_output_ports¶

each item is an OutputPort monitored by the objective_mechanism; it is the same as the ObjectiveMechanism’s monitored_output_ports attribute. The value of the OutputPorts listed are used by the ObjectiveMechanism to generate the AGTControlMechanism’s input.

Type

List[OutputPort]

monitored_output_ports_weights_and_exponents¶

each tuple in the list contains the weight and exponent associated with a corresponding item of monitored_output_ports; these are the same as those in the monitored_output_ports_weights_and_exponents attribute of the objective_mechanism, and are used by the ObjectiveMechanism’s function to parametrize the contribution made to its output by each of the values that it monitors (see ObjectiveMechanism Function).

Type

List[Tuple(float, float)]

_validate_params(request_set, target_set=None, context=None)¶

Validate SYSTEM, MONITOR_FOR_CONTROL and CONTROL_SIGNALS

Check that all items in MONITOR_FOR_CONTROL are Mechanisms or OutputPorts for Mechanisms in self.system Check that every item in modulated_mechanisms is a Mechanism

and that its function has a multiplicative_param

show()¶

Display the OutputPorts monitored by the AGTControlMechanism’s objective_mechanism and the multiplicative_params modulated by the AGTControlMechanism.

exception psyneulink.library.components.mechanisms.modulatory.control.agt.agtcontrolmechanism.AGTControlMechanismError(message, data=None)¶
Next Previous

© Copyright 2016, Jonathan D. Cohen.

Built with Sphinx using a theme provided by Read the Docs.
  • AGTControlMechanism
    • Contents
    • Overview
    • Creating an AGTControlMechanism
    • Structure
      • Input: ObjectiveMechanism and Monitored OutputPorts
      • Function
      • Output
    • Execution
    • Class Reference
  • Github