• Shuffle
    Toggle On
    Toggle Off
  • Alphabetize
    Toggle On
    Toggle Off
  • Front First
    Toggle On
    Toggle Off
  • Both Sides
    Toggle On
    Toggle Off
  • Read
    Toggle On
    Toggle Off
Reading...
Front

Card Range To Study

through

image

Play button

image

Play button

image

Progress

1/11

Click to flip

Use LEFT and RIGHT arrow keys to navigate between flashcards;

Use UP and DOWN arrow keys to flip the card;

H to show hint;

A reads text to speech;

11 Cards in this Set

  • Front
  • Back

Parallel Distributed Processing

Type of connectionist modeling involving 8 major aspects: a set of processing units, an activation for each unit, an output for each unit, pattern of connectivity between units, a propagation rule spreading the activations via the connections, an activation rule for processing for combining inputs to a unit to determine its new activation, a learning rule for modifying activations based on experience, and an environment that provides the system with experience

A set of processing units

These would be nodes, demons, neurons, etc. They are represented by a set of integers

Activation for each unit

This would be like an action potential for the unit and it is represented by a vector of time dependent functions

Output for each unit

Each unit outputs to units it is connected to. This process is a function of activation

Pattern of connectivity

This is the strength of connections between units. In neuronal terms we could think number of AMPA receptors on post synaptic cell, in PDP models this is represented by a matrix of weighted numbers

Activation Rule

If a unit is activated it will output to all of the units its output center is connected to

Learning Rule

A system for modifying unit connection strength based on experience. Could be like when Glutamate stimulated creation of more AMPA receptors

Environment

Need something to provide the system with experience

Viewpoint Invariance

Part of Biederman's RBC theory saying we can recognize an object regardless of viewing angle due to its invariant edge properties

Invariant Edge Properties

Curvature (various points of a curve), Parallel lines (two or more points which follow the same direction), Co-termination (the point at which two points meet and therefore cease to continue), Symmetry and asymmetry Co-linearity (points branching from a common line)

Biederman's study

Showed images of objects missing invariant properties such as areas of co-termination which made the object difficult to identify