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Networks
Interconnected mental structures that facilitate the processing and retrieval of information in the brain. (Describe knowledge as a kind of āmapā)
Node
A specific point within a network that represents a particular piece of knowledge or concept, linking various information and facilitating access to related ideas.
Spreading Activation
A cognitive process where activating one node in a network triggers the activation of related nodes, facilitating the retrieval of connected information.
Context-specific learning
If you learn something in a specific context, what you learn becomes linked to things in that context
Priming
A psychological effect where exposure to one stimulus influences a response to a subsequent stimulus, often without conscious awareness.
Meyer and Schvaneveldt
Discovered that spreading activation influences performance in a lexical decision task (ex: cherries-pears, cherries-bus, cherries-fire)
Fan Effect
Activation is divided across association, there is a cost for spreading your activation thinly
Andersonās Experiment (1974)
A study that demonstrated the fan effect by showing that increasing the number of associations for a concept leads to slower retrieval times. (ex: The doctor is in the bank, etc.)
Perceptual Input Layer
The initial layer of a neural network model where sensory information is received and converted into a format suitable for processing.
ACT
A cognitive model that describes how attention and working memory function together to influence tasks such as problem-solving and decision-making.
Connectionism
A theoretical approach in cognitive science that models mental processes using artificial neural networks, highlighting how interconnected nodes can simulate learning and information processing.