Brain can store or detect representation using only one node (grandmother cell) or many nodes {distributed system, epistemology}. Single nodes use one pathway to connect to other nodes and can associate two representations. Single nodes have no parts, events, or information and make only top-level connections. Distributed systems require many connections. They can connect at many places and levels. They can include information about correlations and probabilities. In distributed system, mutually inhibitory nodes or subsystems represent objects, events, and information.
Systems and spaces can have few activated nodes {sparse representation}. Active nodes represent patterns or object features. No information is in inactive nodes. Active-node sets are patterns. Systems or spaces can have many activated nodes {dense representation}. Nodes and their connection pathways represent pattern features. Nodes and pathways have different weights and activities. Node weighted activities represent patterns.
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Date Modified: 2022.0225