摘要:Constructivist learning theory contends that we construct knowledge by experience and
that environmental context influences learning. To explore this principle, we examined the
cognitive process relational complexity (RC), defined as the number of visual dimensions
considered during problem solving on a matrix reasoning task and a well-documented
measure of mature reasoning capacity. We sought to determine how the visual
environment influences RC by examining the influence of color and visual contrast on
RC in a neuroimaging task. To specify the contributions of sensory demand and relational
integration to reasoning, our participants performed a non-verbal matrix task comprised
of color, no-color line, or black-white visual contrast conditions parametrically varied by
complexity (relations 0, 1, 2). The use of matrix reasoning is ecologically valid for its
psychometric relevance and for its potential to link the processing of psychophysically
specific visual properties with various levels of RC during reasoning. The role of these
elements is important because matrix tests assess intellectual aptitude based on these
seemingly context-less exercises. This experiment is a first step toward examining
the psychophysical underpinnings of performance on these types of problems. The
importance of this is increased in light of recent evidence that intelligence can be linked
to visual discrimination. We submit three main findings. First, color and black-white visual
contrast (BWVC) add demand at a basic sensory level, but contributions from color and
from BWVC are dissociable in cortex such that color engages a “reasoning heuristic” and
BWVC engages a “sensory heuristic.” Second, color supports contextual sense-making
by boosting salience resulting in faster problem solving. Lastly, when visual complexity
reaches 2-relations, color and visual contrast relinquish salience to other dimensions of
problem solving.