association cortex

Cortical regions {association cortex} can record pattern and feature shapes, sizes, types, strengths, and indexes. Association cortex uses serial and parallel detectors at sensory field points to find perceptual features and associate them with similar patterns.

vector field

Associative cortex receives spatial and temporal chemical and electrical signal-intensity patterns from neuron arrays and then distributes spatial and temporal chemical and electrical signal patterns to neuron arrays, including self. Spatial and temporal pattern is like wave front or vector field. Association cortex transforms, and so maps, input field to output field. Mapping uses tensors. Vector-field output vectors are input-vector functions. Vector fields have gradients, flows, constancies, covariances, and contravariances. For example, before intention to move and before movement begins, non-motor cortex has activity. Brain compensates for body movements that change sensor and muscle positions.

levels

Primary associative cortex tracks interactions, combinations, correlations, constancies, covariances, and contravariances among neural signals.

Secondary associative cortex creates absolute time and space, through body-position and surrounding comparisons, as body, head, and eyes move. Spaces have one, two, two and a half, or three dimensions for different uses. Model locates sense organs and muscles in three-dimensional time and space, as objects where events happen. Three-dimensional space-time does not depend on body and has vertical, front, right, and left. Absolute space-time allows perspective changes and unites perception and action.

Tertiary associative cortex is only in human brain and coordinates intermodal sense information.

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Date Modified: 2022.0224