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This deck focuses on 6a Sensation Thresholds Psychophysics, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Psychological Social Foundations.
Study 6a Sensation Thresholds Psychophysics in MCAT Psychological Social Foundations with focused flashcards that help you recognize the idea, recall the key rule, and apply it in practice-style prompts.
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What is perceptual set?
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Top-down predisposition to perceive stimuli in a particular way. Expectations shape how we interpret stimuli.
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This deck focuses on 6a Sensation Thresholds Psychophysics, giving you a quick way to review the definitions, rules, and examples that matter most for MCAT Psychological Social Foundations.
Work through these flashcards in short sessions. Try to answer each prompt before flipping the card, then revisit any cards you miss until the explanation feels automatic.
Answer: Top-down predisposition to perceive stimuli in a particular way. Expectations shape how we interpret stimuli.
Answer: ΔI=5. Apply Weber's law: ΔI=k×I=0.05×100.
Answer: Response bias threshold for saying "signal present". Reflects observer's willingness to report detecting a signal.
Answer: Smallest detectable difference between two stimuli. Minimum change needed to perceive a difference.
Answer: ΔI=5. ΔI=kI=0.05×100=5
Answer: Reporting a signal when the signal is present. Correct positive response in detection task.
Answer: Signal present but the observer reports "signal absent". Failure to detect when signal is actually present.
Answer: Modality-specific scaling; a>1 expands, a<1 compresses. Exponent varies by sensory modality (e.g., brightness vs. loudness).
Answer: Minimum intensity detected 50% of the time. The absolute threshold represents the point at which a stimulus becomes detectable half the time, marking the lower limit of sensory sensitivity.
Answer: False alarms increase. Liberal criterion means saying "yes" more often.
Answer: S=kIa. Power function; exponent a varies by sensory modality.
Answer: P=kIn. Stevens' power law describes how perceived sensation magnitude scales with physical intensity through a power function, varying by sensory modality.
Answer: IΔI=k (constant proportion for a given sense). The ratio of change to original intensity stays constant.
Answer: Compression (perceived intensity grows slower than stimulus). Exponent <1 means sensation increases slower than stimulus.
Answer: Correct rejection. Correctly identifying absence of signal.
Answer: Sensory adaptation. Receptors become less responsive to unchanging stimuli.
Answer: Minimum stimulus intensity detected 50% of the time. Statistical threshold for reliable detection.
Answer: It increases by an additive constant of k. Log of 10-fold increase adds klog(10) to sensation.
Answer: IΔI=k (constant proportion for a given modality). JND is a constant fraction of stimulus intensity.
Answer: k=0.05. Rearrange Weber's law: k=IΔI=804.
Answer: I+ΔI=80+(0.25×80)=100. Add JND to baseline: 80+(0.25×80)=80+20.
Answer: Signal present and the observer reports "signal present". Correct detection when signal is actually present.
Answer: ΔI=5. Apply Weber's law: ΔI=k×I=0.10×50.
Answer: Smallest detectable difference between two stimuli. Also called JND; follows Weber's law.
Answer: IΔI=k. JND is proportional to stimulus intensity; k is Weber's constant.
Answer: Perceived intensity P=kSn relates nonlinearly to stimulus S. Sensation grows as a power function of stimulus strength.
Answer: Linear: P∝I. An exponent of 1 results in a direct proportional relationship, meaning perceived magnitude matches stimulus intensity linearly.
Answer: Detection of weak signals under uncertainty and decision bias effects. Accounts for both sensory ability and decision-making factors in detection.
Answer: 50%. Definition of absolute threshold requires 50% detection rate.
Answer: k=0.05. Rearrange Weber's law: k=IΔI=402.
Answer: False alarm. Type I error: saying "yes" when the answer is "no".
Answer: Minimum stimulus intensity detected 50% of the time. Below this intensity, stimuli cannot be reliably detected.
Answer: Thresholds via ascending/descending stimulus series. The method of limits determines perceptual thresholds by systematically varying stimulus intensity in series to find detection boundaries.
Answer: ΔI is the JND: smallest detectable change in intensity. The numerator represents the minimum detectable change.
Answer: Miss (false negative). Type II error: failing to detect an actual signal.
Answer: Sensation detects stimuli; perception organizes and interprets them. Sensation is raw input; perception is meaningful interpretation.
Answer: Reduced sensitivity after prolonged exposure to an unchanging stimulus. Receptors decrease firing rate to constant stimuli over time.
Answer: Greater sensitivity (smaller proportional change needed to detect a difference). Lower k means smaller changes are detectable, indicating better sensitivity.
Answer: Detection and transduction of physical energy into neural signals. Raw sensory input before brain processing creates meaning.
Answer: Interpretation and organization of sensory information into meaning. The brain processes sensory signals to create meaningful experiences.
Answer: Signal present but the observer reports "no". Failing to detect a signal that is actually present.
Answer: Perception grows faster than intensity (expansive function). Perceived intensity increases faster than actual intensity.
Answer: Detection depends on signal strength and observer criteria (bias). Accounts for both sensory ability and decision-making.
Answer: Detection depends on sensitivity and decision criterion. Signal detection theory accounts for both the observer's perceptual sensitivity and their response bias in determining whether a stimulus is detected.
Answer: Method of constant stimuli. Statistical approach using multiple trials at each intensity.
Answer: FA rate=false alarms+correct rejectionsfalse alarms. Proportion of noise trials incorrectly called signals.
Answer: Signal present and the observer responds "yes". Correctly detecting a signal when it's actually present.
Answer: Detection and transduction of physical stimuli into neural signals. Sensation occurs before perception in the processing chain.
Answer: Study of relationships between physical stimuli and perceived sensations. Quantifies how physical stimuli become psychological experiences.
Answer: Adaptation is receptor-level; habituation is CNS-level learning. Adaptation is peripheral; habituation involves higher processing.
Answer: S=klog(I). Logarithmic relationship between stimulus and sensation.
Answer: Conversion of physical stimulus energy into neural signals. Sensory receptors convert stimuli to action potentials.
Answer: A more liberal (lower) decision criterion. Lowering the decision criterion makes observers more likely to report signals, boosting true detections but also erroneous positives.
Answer: Perception follows a power function: S=kIa. More accurate than Fechner's log law for most senses.
Answer: S=kIa. Power function better fits data than Fechner's log law.
Answer: No signal present and the observer reports "no signal". A correct rejection is accurately determining no signal is present, demonstrating effective discrimination in signal detection scenarios.
Answer: Signal detection theory. This theory explains how detection involves both sensory and decision factors.
Answer: Reporting no signal when no signal is present. Correct negative response in detection task.
Answer: Detecting signals amid noise using sensitivity and decision criteria. Separates sensory ability from response bias in detection tasks.
Answer: Smallest detectable difference between two stimuli 50% of the time. Statistical threshold for discriminating between similar stimuli.
Answer: Hit rate=hits+misseshits. Proportion of signals correctly identified as present.
Answer: IΔI=k. Weber's law states that the just noticeable difference is a constant proportion of the original stimulus intensity, explaining relative perceptual changes.
Answer: Signal absent but the observer reports detecting it. Incorrectly reporting a signal when none exists.
Answer: Fewer false alarms and more misses. Higher threshold reduces false positives but increases misses.
Answer: Weber's law. Describes how JND scales with stimulus intensity.
Answer: No signal present and the observer responds "no". Correctly reporting no signal when only noise is present.
Answer: Weber fraction; modality-specific constant of proportional sensitivity. Ratio remains constant within each sensory modality.
Answer: Ability to distinguish signal from noise; higher d′ means better detection. Measures true detection ability independent of response bias.
Answer: ΔI=4. Weber's law calculates the just noticeable difference as a fixed ratio of the baseline intensity, yielding ΔI=k×I.
Answer: More hits and more false alarms (lower threshold to say "yes"). Lenient responder catches more signals but makes more errors.
Answer: Reporting a signal when no signal is present. Type I error in signal detection.
Answer: Hit. Correctly detecting a present signal.
Answer: Ability to discriminate signal from noise (higher d′ = better). Measures pure detection ability independent of bias.
Answer: k=0.05. Rearrange Weber's law: k=IΔI=20010.
Answer: Detection of physical stimuli by sensory receptors. Sensation involves the initial process where sensory receptors respond to environmental stimuli, converting them into neural impulses for further processing.
Answer: Minimum stimulus intensity detected 50% of the time. Below this intensity, stimuli go undetected.
Answer: Perception grows slower than intensity (compressive function). Perceived intensity increases slower than actual intensity.
Answer: No signal present but the observer reports "signal". A false alarm results from reporting a signal when none exists, typically influenced by a liberal response bias in signal detection theory.
Answer: ΔI=kI=5. Apply Weber's law: ΔI=k×I=0.10×50.
Answer: P=kIa (perceived magnitude is a power function of intensity). Replaces Weber's linear ratio with exponential relationship.
Answer: Detection and transduction of physical stimuli into neural signals. Raw sensory input before brain processing.
Answer: Signal present and the observer reports "yes". Correctly detecting a signal that is actually present.
Answer: Thresholds by having the participant adjust intensity to detectability. Participant controls stimulus to find their own threshold.
Answer: IΔI=k (constant Weber fraction). JND is proportional to stimulus intensity; ratio stays constant.
Answer: Signal present and the observer reports detecting it. Correctly identifying a present signal.
Answer: Signal absent and the observer reports "signal absent". Correctly identifying absence of signal.
Answer: Conversion of physical stimulus energy into neural signals. Receptors convert light, sound, etc. to action potentials.
Answer: S=klog(I0I). Logarithmic relationship means equal ratios feel like equal differences.
Answer: Psychophysical scaling. Maps physical intensity to subjective experience.
Answer: IΔI=k. JND is proportional to stimulus intensity.
Answer: Minimum stimulus intensity detected 50% of the time. The point where detection probability equals chance.
Answer: Signal absent and the observer reports not detecting it. Correctly identifying no signal is present.
Answer: Minimum stimulus intensity detected 50% of the time. The threshold where detection probability equals chance.
Answer: Detecting weak signals amid noise using decision criteria. Separates sensory ability from response bias.
Answer: Detection depends on sensitivity and decision criterion under uncertainty. Separates sensory sensitivity from response bias.
Answer: Hits decrease and false alarms decrease. Conservative criterion means saying "yes" less often, reducing both outcomes.
Answer: Decision threshold for saying "signal present". Influenced by expectations and consequences of errors.
Answer: Tendency to favor one response (yes/no) independent of sensitivity. Reflects decision criterion, not actual sensitivity.
Answer: Ascending/descending trials to estimate sensory thresholds. Systematically varies intensity to find threshold.
Answer: Hit, miss, false alarm, correct rejection. 2×2 matrix: signal present/absent × response yes/no.