PSYC 532 Lecture Notes - Short-Term Memory, Spreading Activation, Connectionism
9 Nov 2012
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These are additional notes to the slides so it would be best to follow along with the slides for full coverage of the topic . Difference between biology and computer= excitatory and inhibition. Pattern of activation across units (active or not) Adjustment of connection weights= in order to reduce error. Circles= units which are all doing the same job + fully connected to each other. Taking out some unit will make it do different things. Some constraints on values of connections e. g: some groups of units have mutually inhibitory connections (which are competing with each other) Hidden units= internal computation, no output or input: no lateral connections, no communicating within a layer, no backward connections. Pattern represents a concept or an idea. Each different pattern represents a different idea. Each unit (96) is participating in different concepts. Each concept requires many units (can represent a large amount of concepts) Distributed= 96 = 2 (more efficient especially in ai)
