PSYC 367: Midterm 1

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what are the steps of the sensory process?

physical stimulus → physiological response → sensory experience

  • easiest to study physical stimulus to sensory experience, skipping physiological response (just ask participant what they are sensing)

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sensation

ability to detect stimulus and turn detection into a private experience

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perception

giving meaning to a detected sensation

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studying physical stimulus to physiological response

  • Animal single-unit recording

  • Human brain imaging (magnetoencephalography, positron emission tomography, functional magnetic resonance imaging, event-related potentials

    difficult to study, expensive, specialized

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studying physiological response to sensory experience

  • animal lesion studies

  • Human clinical studies, human brain imaging

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methods for studying sensation (textbook)

  1. thresholds

  2. scaling (measuring private experience

  3. signal detection theory (measuring difficult decisions)

  4. sensory neuroscience

  5. neuroimaging

  6. computational models

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Gustav Fechner (1801-1887)

pioneer of psychophysics, true founder of experimental psychology - preliminary work relating changes in physical world to changes in psychological experiences

  • invested in relationship between mind and matter - believed consciousness to be present in all nature (panpsychism)

His methods are still used today:

  • absolute threshold

  • psychometric function

  • method of limits

  • method of adjustment

  • method of constant stimuli

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psychophysics

formally describing relationship between sensation and energy that gives rise to sensation - proposed by Fechner (inspired by Weber)

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absolute threshold for detection

minimal amount of stimulation necessary to just detect presence of a stimulus 50% of the time

  • lower = higher sensitivity

<p>minimal amount of stimulation necessary to just detect presence of a stimulus 50% of the time</p><ul><li><p>lower = higher sensitivity</p></li></ul><p></p>
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psychometric function

graph of stimulus value (intensity) on horizontal axis versus subject’s responses (proportion of yes or no) on vertical axis

  • vary depending on the person and the moment

  • Ogive = typical S shape of the functions

<p>graph of stimulus value (intensity) on horizontal axis versus subject’s responses (proportion of yes or no) on vertical axis</p><ul><li><p>vary depending on the person and the moment</p></li><li><p>Ogive = typical S shape of the functions</p></li></ul><p></p>
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method of constant stimuli

select stimulus intensities above and below expected threshold - present many trials of each intensity in random order to identify average smallest intensity that can be detected

  • standard (fixed value) and comparison (value changes) stimuli presented together

  • identify point of psychometric function where stimulus is identified 50% of the time (absolute threshold)

  • interested in upper and lower limits - 0.75 point is upper limit, 0.25 point is lower limit read from graph

  • JND = (upper limit - lower limit)/2

  • 0.50 point is point of subjective equality

<p>select stimulus intensities above and below expected threshold - present many trials of each intensity in random order to identify average smallest intensity that can be detected</p><ul><li><p>standard (fixed value) and comparison (value changes) stimuli presented together</p></li><li><p>identify point of psychometric function where stimulus is identified 50% of the time (absolute threshold)</p></li><li><p>interested in upper and lower limits - 0.75 point is upper limit, 0.25 point is lower limit read from graph</p></li><li><p>JND = (upper limit - lower limit)/2</p></li><li><p>0.50 point is point of subjective equality</p></li></ul><p></p>
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difference threshold

size/level of stimulus difference for participant to notice a change between two instalments

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advantages of method of constant limits

accurate and repeatable threshold values

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disadvantages of method of constant stimuli

  • time consuming

  • not good for tracking thresholds that change over time

  • Not good for children or clinical patients

  • Lots of data collected far from threshold (inefficient)

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method of limits

alternate between descending intensity (until participant says they can’t hear) and ascending intensity during trials (until participant can hear) and determine cross-over point between each series (average)

  • not necessary to obtain a psychometric function, saves time

  • standard and comparison stimuli presented together

  • upper limit: crossover point stronger and equal on each series

  • lower limit: crossover point between equal and weaker on each series

  • JND = (average upper limit - average lower limit)/2

  • PSE = (average upper limit + average lower limit)/2

<p>alternate between descending intensity (until participant says they can’t hear) and ascending intensity during trials (until participant can hear) and determine cross-over point between each series (average)</p><ul><li><p>not necessary to obtain a psychometric function, saves time</p></li><li><p>standard and comparison stimuli presented together</p></li><li><p>upper limit: crossover point stronger and equal on each series</p></li><li><p>lower limit: crossover point between equal and weaker on each series</p></li><li><p>JND = (average upper limit - average lower limit)/2</p></li><li><p>PSE  = (average upper limit + average lower limit)/2</p></li></ul><p></p>
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advantages of method of limits

saves time - don’t have to trace out whole psychometric function

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disadvantages of method of limits

  • error of habituation (make same response too many times)

    • Reduce by alternating the series takes more time

  • Error of anticipation (change response after fixed number of trials)

    • Reduce by varying start point on each series — requires extra stimulus levels so becomes less efficient

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method of adjustment

observer adjust stimulus intensity using a potentiometer until just detectable - calculate average of threshold adjustments

  • adjustment also varies between descending and ascending

  • JND = standard deviation of the matches x 0.6745

  • PSE = average of matches

<p>observer adjust stimulus intensity using a potentiometer until just detectable - calculate average of threshold adjustments</p><ul><li><p>adjustment also varies between descending and ascending</p></li><li><p>JND = standard deviation of the matches x 0.6745</p></li><li><p>PSE = average of matches</p></li></ul><p></p>
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method of adjustment advantages

  • quick

  • participants like it

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method of adjustment disadvantages

  • not very accurate or repeatable

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scaling methods

measuring how strong experiences are

  • magnitude estimation

  • Steven’s power law

  • cross-modality matching

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detection experiments

measure absolute thresholds

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suprathreshold stimulus

above absolute threshold, always detectable

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just noticeable difference (JND)

smallest difference between stimuli or change in a stimulus that observer notices 50% of the time

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modern improvements to Fechner’s methods

  • staircase method

  • 2-alternative forced-choice paradigm

  • psychophysical scaling

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staircase method

stimulus intensity decreased (or increased) in equal steps until stimulus can’t (or can) be detected, then increased (or decreased) until stimulus can be detected

  • keeps going instead of stopping after ability to detect or not detect

  • stimuli kept hovering around threhold by adapting test sequence to participant’s response

  • response reversal = whenever response changed from yes to no

  • ends after fixed # of trials

  • absolute threshold = average of cross-over points at response reversal

<p>stimulus intensity decreased (or increased) in equal steps until stimulus can’t (or can) be detected, then increased (or decreased) until stimulus can be detected</p><ul><li><p>keeps going instead of stopping after ability to detect or not detect</p></li><li><p>stimuli kept hovering around threhold by adapting test sequence to participant’s response</p></li><li><p>response reversal = whenever response changed from yes to no</p></li><li><p>ends after fixed # of trials</p></li><li><p>absolute threshold = average of cross-over points at response reversal</p></li></ul><p></p>
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staircase method advantages

  • efficient, most data collected around threshold

  • can be used to track threshold changes over time - wouldn’t level off

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staircase method disadvantages

  • error of anticipation and habituation

    • randomly interleaved descending and ascending staircases can be used to prevent this (2 staircases)

<ul><li><p>error of anticipation and habituation</p><ul><li><p>randomly interleaved descending and ascending staircases can be used to prevent this (2 staircases)</p></li></ul></li></ul><p></p>
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2-alternative forced-choice paradigm

  • additive to experimental methods discussed above

  • participant has to choose one or the other - prove they can detect (where/when was this)/discriminate (what is different) stimulus

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2-alternative forced-choice paradigm advantages

  • more accurate threshold

  • reduces non-sensory differences between participants (bias or criterion towards saying we detect saying something)

  • can be used with method of constant stimuli, method of limits, staircase method, but not method of adjustment

<ul><li><p>more accurate threshold</p></li><li><p>reduces non-sensory differences between participants (bias or criterion towards saying we detect saying something)</p></li><li><p>can be used with method of constant stimuli, method of limits, staircase method, but not method of adjustment</p></li></ul><p></p>
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psychophysical scaling

difference thresholds are larger for larger stimuli - identified by Weber

  • Weber’s law: ∆I = k I

    • ∆I = difference threshold (JND)

    • I = physical magnitude of stimulus

    • k = constant that depends on sensory system

    • The difference threshold is a constant proportion of physical magnitude of stimulus

  • Fechner suggested using JNDs to describe perceived intensity (produce equal steps in sensation)

  • In reality, sensory steps at upper end of scale require larger increases in stimulus intensity to get equal sensation increasing steps

<p>difference thresholds are larger for larger stimuli - identified by Weber</p><ul><li><p>Weber’s law: ∆I = k I</p><ul><li><p>∆I = difference threshold (JND)</p></li><li><p>I = physical magnitude of stimulus</p></li><li><p>k = constant that depends on sensory system</p></li><li><p>The difference threshold is a <strong>constant proportion</strong> of physical magnitude of stimulus</p></li></ul></li><li><p>Fechner suggested using JNDs to describe perceived intensity (produce equal steps in sensation)</p></li><li><p>In reality, sensory steps at upper end of scale require larger increases in stimulus intensity to get equal sensation increasing steps</p></li></ul><p></p>
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<p>Fechner’s Law</p>

Fechner’s Law

principle describing relationship between stimulus magnitude and resulting sensation magnitude (scaling) - as stimulus intensity increases, sensation intensity increases rapidly at first, but then more slowly

  • S = k log R

    • S = sensation intensity

    • k = Weber fraction

    • R stimulus level (also = I)

<p>principle describing relationship between stimulus magnitude and resulting sensation magnitude (scaling) - as stimulus intensity increases, sensation intensity increases rapidly at first, but then more slowly</p><ul><li><p>S = k log R</p><ul><li><p>S = sensation intensity</p></li><li><p>k = Weber fraction</p></li><li><p>R stimulus level (also = I)</p></li></ul></li></ul><p></p>
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Weber’s Law

∆I = k I

  • ∆I = just detectable difference

  • k = constant

  • I = stimulus intensity

  • JND is a constant fraction of the comparison stimulus

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numerical example of Weber’s law (ΔI = k I)

  • 150 watts is just noticeable different from 100 watts (JND = 50, have to increase by at least 50 to notice a change)

  • 450 watts is just noticeable different from 300 watts (JND = 150, have to increase by at least 150 to notice a change)

  • k = 0.5 (JND/initial watts value [I])

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numerical example of Fechner’s Law

  • 150 watts (S = 1.1) looks 0.1 brighter than 100 watts (S = 1.0); ΔS = 0.1

    • k = 0.5

  • 450 watts (S = 1.3) looks 0.1 brighter than 300 (S = 1.2); ΔS = 0.1

    • k = 0.5

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magnitude estimation

participant assigns number to describe stimulus intensity

  • ex. whiteness of standard dot pattern is 100

  • sensory magnitude of a stimulus increases with its physical magnitude, within limits, but rate of increase varies with different sensations - curves are different but can be describe with a power law

<p>participant assigns number to describe stimulus intensity</p><ul><li><p>ex. whiteness of standard dot pattern is 100</p></li><li><p>sensory magnitude of a stimulus increases with its physical magnitude, within limits, but rate of increase varies with different sensations - curves are different but can be describe with a power law</p></li></ul><p></p>
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Steven’s power law

magnitude of subjective sensation is proportional to stimulus magnitude raised to an exponent (power)

  • S = aI^b

    • S = sensation

    • a = constant

    • I = stimulus intensity

    • b = exponent (determines shape of curve)

  • Exponent value curves line

  • identifies sensory modalities that do not follow Fechner’s laws

  • Predicts same scaling result as Fechner’s law

  • If exponent is less than one, it means sensation grows less rapidly than stimulus

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cross-modality matching

scaling method in which intensities of sensations that come from different sensory modalities are matched

<p>scaling method in which intensities of sensations that come from different sensory modalities are matched </p>
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signal detection method

quantifies response of an observer to presentation of signal in presence of noise - 2-alternative forced-choice paradigm reduces perceiver bias, bias free estimate of sensitivity

  • recognized perceptual measurements are influenced by motivational state/sensory capacities by perceiver (other methods don’t do this) - how we make decisions under uncertainty

  • catch trials

  • outcome matrix: when stimulus is present 50% of the time

  • sensitivity (d’: d prime)

<p>quantifies response of an observer to presentation of signal in presence of noise - 2-alternative forced-choice paradigm reduces perceiver bias, bias free estimate of sensitivity</p><ul><li><p>recognized perceptual measurements are influenced by motivational state/sensory capacities by perceiver (other methods don’t do this) - how we make decisions under uncertainty</p></li><li><p>catch trials</p></li><li><p>outcome matrix: when stimulus is present 50% of the time</p></li><li><p>sensitivity (d’: d prime)</p></li></ul><p></p>
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catch trials

trials in a signal detection experiment on which stimulus/signal is absent

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outcome matrix (signal detection)

response rate has to add up to 1 (know percentage of Yes, you also know percentage of No)

  • no dependent relationship between present and absent scores

  • Hit rate and false alarm rate together provide sensitivity measure

<p>response rate has to add up to 1 (know percentage of Yes, you also know percentage of No)</p><ul><li><p>no dependent relationship between present and absent scores</p></li><li><p>Hit rate and false alarm rate together provide sensitivity measure</p></li></ul><p></p>
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sensitivity (d’) (signal detection)

ease with which perceiver can tell difference between presence and absence of a stimulus

  • insensitive = hit rate and false alarm rate are equal

  • manipulated by changing intensity of the stimuli - ex. lightening/darkening the colour

  • depend on overlap of signal absent and signal present distributions

    • distance between means of N and S+N distributions (doesn’t change with changes in criterion

<p>ease with which perceiver can tell difference between presence and absence of a stimulus</p><ul><li><p>insensitive = hit rate and false alarm rate are equal</p></li><li><p>manipulated by changing intensity of the stimuli - ex. lightening/darkening the colour</p></li><li><p>depend on overlap of signal absent and signal present distributions</p><ul><li><p>distance between means of N and S+N distributions (doesn’t change with changes in criterion</p></li></ul></li></ul><p></p>
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why do people make false alarms? (signal detection)

  • endogenous noise: spontaneous neural activity - affects measurement of threshold and sensitivity (sensory reason)

  • criterion (𝞫): response bias within a perceiver - depends on expectations and motivation (non-sensory)

    • Manipulating motivation/expectations can change it

    • Bigger the criterion, the stricter it is

    • manipulated by changing the probability of a stimulus appearing (reducing it increases criterion strictness)

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signal detection and endogenous noise

when signal is present, it adds to noise (S + N (sensory activity during catch trials))

  • sensory activity for signal + noise is on average, more intense than noise alone

  • noise can produce sensation as strong as that produced by signal

  • criterion is the level above attribution to signal and not to noise

<p>when signal is present, it adds to noise (S + N (sensory activity during catch trials))</p><ul><li><p>sensory activity for signal + noise is on average, more intense than noise alone</p></li><li><p>noise can produce sensation as strong as that produced by signal</p></li><li><p>criterion is the level above attribution to signal and not to noise</p></li></ul><p></p>
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correct rejection

correctly identify signal as absent (activity to left of criterion)

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hit

correctly identify signal as present (activity to right of criterion)

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miss

incorrectly identify signal as absent (activity to left of criterion)

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false alarm

incorrectly identify signal as present (activity to right of criterion)

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size of criterion

small = high hits and high false alarms

large = low hits and low false alarms

strong motivation = small beta

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receiver operating characteristic (ROC) curves

used to compare performance of two+ tests - curves show a different level of decline/sensitivity - different levels of criterion indicated

  • d’ is lower with lighter stimulus

<p>used to compare performance of two+ tests - curves show a different level of decline/sensitivity - different levels of criterion indicated</p><ul><li><p>d’ is lower with lighter stimulus</p></li></ul><p></p>
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biology of sensation

physiological response to stimulus

  • ignored by psychophysics

  • transduction

  • information processing

  • sensory coding

  • doctrine of specific nerve energies

  • cranial nerves

  • synapse

  • neurotransmitters

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transduction

how energy in environment gets transformed into electrical energy by the nervous system

  • different for each energy system

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information processing

what happens to electrical signals as they travel

  • different routes for each sensory system

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sensory coding

how brain understands what electrical signals reaching it mean

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doctrine of specific nerve energies (Muller, 1801-1858)

nature of a sensation depends on which nerves are stimulated, not on how nerves are stimulated

  • neural signals are identical across sensory modalities and we have specific nerves for each sensory system

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cranial nerves

12 pairs of nerves that originate in brain stem or thalamus and reach periphery through opening in the skull

<p>12 pairs of nerves that originate in brain stem or thalamus and reach periphery through opening in the skull</p>
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nerve pairs carrying sensory info (7)

  • sensory only

    • olfactory (I)

    • optic (II)

    • vestibulocochlear (VIII) - auditory + vestibular nerves

  • sensory and motor

    • trigeminal (V)

    • facial (VII)

    • glossopharynegal (IX)

    • vagus (X)

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synapse

junction between neurons that permits information transfer

  • occurs between axon terminal and dendrites of post-synaptic neuron

<p>junction between neurons that permits information transfer</p><ul><li><p>occurs between axon terminal and dendrites of post-synaptic neuron</p></li></ul><p></p>
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neuron electrochemical responses

  1. Na+ rushes in

  2. Inflow of Na+ depolarizes adjacent membrane to let more Na+ in down the line

  3. Neuron recovers by quickly sending K+ out of the cell to get back to resting potential

<ol><li><p>Na<sup>+ </sup>rushes in</p></li><li><p>Inflow of Na<sup>+</sup> depolarizes adjacent membrane to let more Na<sup>+ </sup>in down the line</p></li><li><p>Neuron recovers by quickly sending K<sup>+</sup> out of the cell to get back to resting potential</p></li></ol><p></p>
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neurotansmitter

chemical substance used in neuronal communication at synapses

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action potential

rapid depolarization of membrane potential during neuron activity

<p>rapid depolarization of membrane potential during neuron activity</p>
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animal single-unit recording

can look at individual neurons this way - only can with animal studies

<p>can look at individual neurons this way - only can with animal studies</p>
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electroencephalography (EEG)

electrodes on subject’s scale and they perform perceptual tasks, measuring voltage changes

  • map signal strength over time across scale through many neurons

  • good temporal resolution (looking at changes over time)

  • poor spatial resolution (looking at specific point of occurrence)

  • most similar to animal single-unit

  • voltage change averages = event related potentials

<p>electrodes on subject’s scale and they perform perceptual tasks, measuring voltage changes</p><ul><li><p>map signal strength over time across scale through many neurons</p></li><li><p>good temporal resolution (looking at changes over time)</p></li><li><p>poor spatial resolution (looking at specific point of occurrence)</p></li><li><p>most similar to animal single-unit</p></li><li><p>voltage change averages = event related potentials</p></li></ul><p></p>
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magnetoencephalography (MEG)

measures magnetic fields created by flow of ion currents between neuron with magnetometers (superconducting quantum interference devices (SQUID))

  • see where activity is occurring in the brain

  • not good at seeing activity deep in the brain

<p>measures magnetic fields created by flow of ion currents between neuron with magnetometers (superconducting quantum interference devices (SQUID))</p><ul><li><p>see where activity is occurring in the brain</p></li><li><p>not good at seeing activity deep in the brain</p></li></ul><p></p>
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positron emission tomography (PET)

radioactive tracer injected into participant and as tracker decays, positrons are emitted and picked up by scanner

  • areas of high radioactivity are associated with neural activity (based on blood flow)

  • good for studying disease (cancer) or brain chemicals

  • poor spatial resolution (used with MRI to improve)

  • invasive

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structural MRI

large magnet obtains high res images of body based on differences in water content

  • gets a good picture of the brain

  • can’t look at brain function

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functional MRI (fMRI)

same scanner as MRI, but images blood-oxygen levels instead

  • neural activity → increase in blood flow/volume → increase in oxygen consumption → increase in oxygen in venous blood (gets redder) → stronger MRI signal

  • display as activation map - 2 conditions

  • non-invasive procedure

  • best spatial resolution, but response changes very slowly

  • See where something is happening

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studying physiological response to sensory experience

  • animal lesion studies

  • human clinical lesion studies

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animal lesion studies

  • MT lesion disrupts motion perception

  • V4 lesion disrupts colour perception

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human clinical lesion studies

ex. damage to Broca’s area = problems with speech production, damage to Wernicke’s area = problems with understanding speech

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sense of hearing

physical stimulus = sound → physiological response = pattern of electrical activity in sensory receptors, nerves, brain → sensory experience = hear something

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components of physical stimulus

sound produced by physical vibrations

  • compression

  • refraction

  • frequency

  • phase

  • amplitude

<p>sound produced by physical vibrations</p><ul><li><p>compression</p></li><li><p>refraction</p></li><li><p>frequency</p></li><li><p>phase</p></li><li><p>amplitude</p></li></ul><p></p>
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compression and rarefaction

  • compression: air molecules bunch together

  • rarefaction: air molecules spread apart

<ul><li><p>compression: air molecules bunch together</p></li><li><p>rarefaction: air molecules spread apart</p></li></ul><p></p>
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frequency

rate of fluctuations of sound pressure per second

  • measured in cycles/second or hertz (Hz)

  • perceived as pitch

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phase

part of cycle sound pressure wave has reached at given point in time

  • measured in degrees (∘)

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amplitude

max pressure change of wave above normal atmospheric pressure, difference between highest and lowest pressure of the wave - several different units

  • sound pressure: force against eardrum - dynes/cm2 or pascals (newtons/m2)

    • absolute threshold of 1000 Hz tone = 0.0002 dynes/cm2

    • painful 1000 Hz tone = 2000 dynes/cm2

    • sound intensity is proportional to pressure2

  • sound pressure level (amplitude or intensity): ratio of sound pressures converted to log scale - decibels (dB)

    • dB = 20*log (P/Po) - P is sound pressure of tone, Po (”P not”) is reference pressure of 0.0002 dynes/cm^2 or 0.00002 pascal)

    • Measuring intensity = dB = 10 * log (P^2/Po^2)

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human hearing range

20-20000 Hz

  • lose highest frequency sounds first

<p>20-20000 Hz</p><ul><li><p>lose highest frequency sounds first</p></li></ul><p></p>
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pure tones

Made by tuning forks - represented by single sine waves (only they achieve this)

  • sound frequency corresponds to perceived pitch

  • sound pressure level corresponds to perceived loudness

  • frequency and amplitude are independent from each other

<p>Made by tuning forks - represented by single sine waves (only they achieve this)</p><ul><li><p>sound frequency corresponds to perceived pitch</p></li><li><p>sound pressure level corresponds to perceived loudness</p></li><li><p>frequency and amplitude are independent from each other</p></li></ul><p></p>
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complex tones

most sounds we hear - set of sine waves (according to Fourier’s theorem)

<p>most sounds we hear - set of sine waves (according to Fourier’s theorem)</p>
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fourier theorem

mathematical procedure for separating a complex pattern into component sine waves that vary over time (hearing) or space (vision)

<p>mathematical procedure for separating a complex pattern into component sine waves that vary over time (hearing) or space (vision)</p>
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amplitude spectra (from Fourier analysis)

extracts sine wave components from complex sounds - shows frequency of sine wave, complexity of sound wave, amplitude, phase

<p>extracts sine wave components from complex sounds - shows frequency of sine wave, complexity of sound wave, amplitude, phase</p>
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fundamental frequency

lowest sine-wave frequency in a complex sound - usually determines perceived pitch

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harmonic frequency

higher frequency sine-wave components - integer multiples of fundamental frequency

  • differences determine psychological attribute of quality or timbre (why different musical instruments sound different)

  • Instruments can have same pitch but differ in timbre

<p>higher frequency sine-wave components - integer multiples of fundamental frequency</p><ul><li><p>differences determine psychological attribute of quality or timbre (why different musical instruments sound different)</p></li><li><p>Instruments can have same pitch but differ in timbre</p></li></ul><p></p>
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outer ear

gathers sound energy and funnels it to the tympanic membrane (eardrum)

  • ear canal

  • pinna

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pinna

external ear shape - helps with sound localization

<p>external ear shape - helps with sound localization</p>
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ear canal

outer ear to middle ear - length/shape enhances sounds between 2000 and 6000 Hz

<p>outer ear to middle ear - length/shape enhances sounds between 2000 and 6000 Hz</p>
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middle ear

amplifies sound energy and protects inner ear from harmful loud sounds

  • ossicles

  • impedance matching

  • tympanic membrane

  • acoustic reflex

  • eustachian tube

  • tensor tympani

<p>amplifies sound energy and protects inner ear from harmful loud sounds</p><ul><li><p>ossicles</p></li><li><p>impedance matching</p></li><li><p>tympanic membrane</p></li><li><p>acoustic reflex</p></li><li><p>eustachian tube</p></li><li><p>tensor tympani</p></li></ul><p></p>
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ossicles

malleus, incus, stapes - small bones in middles ear that transmit air vibrations from outer ear to inner to be processed as sound

  • act like levers - even out the weight from tupanic membrane (factor of 1.3)

<p>malleus, incus, stapes - small bones in middles ear that transmit air vibrations from outer ear to inner to be processed as sound</p><ul><li><p>act like levers - even out the weight from tupanic membrane (factor of 1.3)</p></li></ul><p></p>
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impedance matching

middle ear amplifies sound energy to reduce loss due to reflection at oval window - middle ear is filled with air and inner with fluid

  • middle ear contains low-impedance sounds, inner ear has high-impedance fluid

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tympanic membrane

aka eardrum, separates outer ear from middle ear - larger than neighbouring stapes footplate and increases pressure change at oval window by ~17x

  • sound waves at it cause it to vibrate, transfer vibrations to ossicles who transfer the signals to inner ear

  • pressure = force/unit area

  • like a high heel stepping on your foot

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tensor tympani

muscle that contracts and pulls the malleus to tense the tympanic membrane and dampen vibration in the ear ossicles, reducing perceived amplitude of sounds

  • stapes do the same thing

<p>muscle that contracts and pulls the malleus to tense the tympanic membrane and dampen vibration in the ear ossicles, reducing perceived amplitude of sounds</p><ul><li><p>stapes do the same thing</p></li></ul><p></p>
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acoustic reflex

in response to prolonged loud sounds, tensor tympani and stapedius muscles contract to reduce magnitude of auditory signal transmitted to inner ear

  • reduce sound pressure level by 30 dB

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eustachian tube

equalizes air pressure between middle and outer ear

  • pressure needs to be the same on both sides or it is painful for the ear (like plugged ears on an airplane)

  • every time we swallow, air flows into middle ear to equalize pressure

<p>equalizes air pressure between middle and outer ear</p><ul><li><p>pressure needs to be the same on both sides or it is painful for the ear (like plugged ears on an airplane)</p></li><li><p>every time we swallow, air flows into middle ear to equalize pressure</p></li></ul><p></p>
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inner ear

helps hearing, balance, detecting and transferring auditory signals to brain

  • vestibular, tympanic canals (perilymph fluid)

  • cochlear duct (endolymph fluid)

  • organ/tunnel of corti

  • basilar membrane

  • cochlea

  • hair cells (stereocilia)

  • auditory nerve fibres

<p>helps hearing, balance, detecting and transferring auditory signals to brain</p><ul><li><p>vestibular, tympanic canals (perilymph fluid)</p></li><li><p>cochlear duct (endolymph fluid)</p></li><li><p>organ/tunnel of corti</p></li><li><p>basilar membrane</p></li><li><p>cochlea</p></li><li><p>hair cells (stereocilia)</p></li><li><p>auditory nerve fibres</p></li></ul><p></p>
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tympanic and vestibular canals

transduce movement of air that cause tympanic membrane and ossicles to vibrate to movement of liquid and basilar membrane

  • filled with perilymph fluid to assist

<p>transduce movement of air that cause tympanic membrane and ossicles to vibrate to movement of liquid and basilar membrane</p><ul><li><p>filled with perilymph fluid to assist</p></li></ul><p></p>
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reissner’s membrane

aka vestibular membrane - separates cochlear duct from vestibular duct and helps transmit vibrations

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basilar membrane

separates the cochlea from the tympanic and vestibular canals

<p>separates the cochlea from the tympanic and vestibular canals</p>
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cochlear duct

houses organ of corti, filled with endolymph fluid, between the tympanic and vestibular duct - self-contained