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HPS203 Exam Questions And Answers 100%
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We perceive and recognise objects through: - ANS Form perception (basic shapes and sizes)
and object recognition (identifying objects)
Bottom-up processes - ANS Processes that are directly shaped by the stimulus (data-driven)
Top-down processes - ANS Processes that are shaped by knowledge (concept-driven)
Visual features - ANS Features of objects that help you recognise the entire objects by only
seeing specific parts of that object. Eg. the arcs of a lollipop
Parallel processing - ANS The ability of the brain to simultaneously process and interpret
incoming stimuli of differing quality
Familiarity - ANS Frequent words are better recognised
Recency - ANS Words just seen are better recognised
Repetition priming - ANS When a word is seen then viewed again a little later, the first
exposure primes the participant for the second exposure
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Feature nets - ANS A network of detectors, organised in layers, with each subsequent layer
having more complex, larger scale objects - allows for more efficient memory storage however
at the cost of occasional error
Feature detectors - ANS When we recognise shapes of letters
Bigram detectors - ANS When we recognise familiar letter combinations (CL, CK) in
comparison to unfamiliar ones (CQ, CX) - requires less activation levels
Activation level - ANS how mental arousal is necessary for effective functioning in that we
need a certain level of activation in order to be sufficiently motivated to achieve goals, do good
work and so on.
Response threshold - ANS When an activation level reaches the detector's response
threshold, the detector will fire - it sends its signal to the other detectors to which it's
connected to
McCelland and Rumelhart Model - ANS Rather than believing that the activation of detectors
serve to activate other detectors, it is believed that detectors inhibit one another, so that
activation of one detector can decrease the activation in other detectors
Excitatory connections - ANS Connections that allow one detector to activate its neighbours
Inhibitory connections - ANS When detectors deactivate its neighbours
Biederman's recognition-by-components theory - ANS According to this theory we are able
to recognise objects by separating them into geons (the object's main component parts)
Geons - ANS Simple components and shapes - cylinders, cones, blocks - are recognised across
different orientations and viewpoints
HPS203 Exam Questions And Answers 100%
Pass
We perceive and recognise objects through: - ANS Form perception (basic shapes and sizes)
and object recognition (identifying objects)
Bottom-up processes - ANS Processes that are directly shaped by the stimulus (data-driven)
Top-down processes - ANS Processes that are shaped by knowledge (concept-driven)
Visual features - ANS Features of objects that help you recognise the entire objects by only
seeing specific parts of that object. Eg. the arcs of a lollipop
Parallel processing - ANS The ability of the brain to simultaneously process and interpret
incoming stimuli of differing quality
Familiarity - ANS Frequent words are better recognised
Recency - ANS Words just seen are better recognised
Repetition priming - ANS When a word is seen then viewed again a little later, the first
exposure primes the participant for the second exposure
, ©EVERLY 2025 ALL RIGHTS RESERVED
Feature nets - ANS A network of detectors, organised in layers, with each subsequent layer
having more complex, larger scale objects - allows for more efficient memory storage however
at the cost of occasional error
Feature detectors - ANS When we recognise shapes of letters
Bigram detectors - ANS When we recognise familiar letter combinations (CL, CK) in
comparison to unfamiliar ones (CQ, CX) - requires less activation levels
Activation level - ANS how mental arousal is necessary for effective functioning in that we
need a certain level of activation in order to be sufficiently motivated to achieve goals, do good
work and so on.
Response threshold - ANS When an activation level reaches the detector's response
threshold, the detector will fire - it sends its signal to the other detectors to which it's
connected to
McCelland and Rumelhart Model - ANS Rather than believing that the activation of detectors
serve to activate other detectors, it is believed that detectors inhibit one another, so that
activation of one detector can decrease the activation in other detectors
Excitatory connections - ANS Connections that allow one detector to activate its neighbours
Inhibitory connections - ANS When detectors deactivate its neighbours
Biederman's recognition-by-components theory - ANS According to this theory we are able
to recognise objects by separating them into geons (the object's main component parts)
Geons - ANS Simple components and shapes - cylinders, cones, blocks - are recognised across
different orientations and viewpoints
