Bottom-up processing is an approach to perception that begins with raw sensory data that gets sent up to the brain for higher-level analysis.
Imagine building a LEGO set without instructions - you start with individual pieces (raw sensory data) and put them together until they form something recognizable (a percept).
Feature Analysis: This refers to processing an object or visual scene based on its smaller parts or characteristics first before recognizing it as a whole. Like identifying each LEGO piece before understanding what they combine to create.
Data-driven Processing: Another term for bottom-up processing; it emphasizes how raw sensory input drives our understanding of the environment. It's like building a puzzle by starting with individual pieces.
Perceptual Set: This is a predisposition to perceive things in a certain way, which can be influenced by expectations and cultural background. It's like having an idea of what your finished LEGO set should look like based on the box image.
What is bottom-up processing?
How does bottom-up processing contribute towards sensory information processing?
Can you refute conventional understanding related to bottom-up processing in perceptual organization?
What is a valid criticism of bottom-up processing in the theory of perception?
How does the principle of bottom-up processing illustrate why we first notice individual letters before recognizing a word?
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