¡GoConqr estrena diseño! Cuéntanos qué te parece.

Test

Sin título

Taylor Falcone 16 preguntas

Hacer el test

Este test tiene tipos de pregunta que se abren en el reproductor de siempre.

Preguntas del test (16)

  1. 1What is the rescorla wagner model?
    1. learning is [blank_start]change[blank_end] in [blank_start]associative[blank_end] [blank_start]strength[blank_end] across [blank_start]trials[blank_end] between CS & US, limited by [blank_start]US[blank_end] ([blank_start]Vmax[blank_end])
    2. [blank_start]direction[blank_end] of relationship is function of difference between [blank_start]predicted[blank_end] US ([blank_start]V[blank_end]) and [blank_start]actual[blank_end] US ([blank_start]Vmax[blank_end])
    1. Achange
    2. Bassociative
    3. Cstrength
    4. Dtrials
    5. EUS
    6. FVmax
    7. Gdirection
    8. Hpredicted
    9. IV
    10. Jactual
    11. KVmax
  2. 2How does the RW model explain the acquision curve?
    1. rate depends on characteristics of [blank_start]CS[blank_end]/[blank_start]US[blank_end]
    2. initially [blank_start]large[blank_end] [blank_start]change[blank_end] in [blank_start]associative[blank_end] [blank_start]strength[blank_end], [blank_start]smaller[blank_end] with each [blank_start]trial[blank_end], until [blank_start]max[blank_end] [blank_start]amount[blank_end] of [blank_start]learning[blank_end] ([blank_start]asymptote[blank_end]) of that [blank_start]US[blank_end] is reached
    1. ACS
    2. BUS
    3. Clarge
    4. Dchange
    5. Eassociative
    6. Fstrength
    7. Gsmaller
    8. Htrial
    9. Imax
    10. Jamount
    11. Klearning
    12. Lasymptote
    13. MUS
  3. 3How does the RW model explain blocking?
    1. [blank_start]predicted[blank_end] US (V) = accounts for [blank_start]combined[blank_end] [blank_start]associative[blank_end] [blank_start]strength[blank_end] of [blank_start]all[blank_end] [blank_start]CS[blank_end] present
    2. if [blank_start]previous[blank_end] CS fully [blank_start]predicts[blank_end] US, then no [blank_start]difference[blank_end] between [blank_start]predicted[blank_end] US and [blank_start]actual[blank_end] US, so no change in [blank_start]associative[blank_end] [blank_start]strength[blank_end] and no change in [blank_start]learning[blank_end] for other CS
    1. Apredicted
    2. Bcombined
    3. Cassociative
    4. Dstrength
    5. ECS
    6. Fall
    7. Gprevious
    8. Hpredicts
    9. Idifference
    10. Jpredicted
    11. Kactual
    12. Lassociative
    13. Mstrength
    14. Nlearning
  4. 4How does the RW model explain context conditioning?
    1. effect of [blank_start]contingency[blank_end] = [blank_start]US[blank_end] without [blank_start]CS[blank_end] interferes with [blank_start]conditioning[blank_end]
    2. intially conditioning for both [blank_start]CS[blank_end] and [blank_start]environment[blank_end] = together exceed [blank_start]Vmax[blank_end] = decreased [blank_start]associative[blank_end] [blank_start]strength[blank_end]
    3. when [blank_start]US[blank_end] next presented without [blank_start]CS[blank_end], [blank_start]environmental[blank_end] [blank_start]cues[blank_end] still present = below [blank_start]Vmax[blank_end], increased [blank_start]associative[blank_end] [blank_start]strength[blank_end]
    1. Acontingency
    2. BUS
    3. CCS
    4. Dconditioning
    5. ECS
    6. Fenvironment
    7. GVmax
    8. Hassociative
    9. Istrength
    10. JUS
    11. KCS
    12. Lenvironmental
    13. Mcues
    14. NVmax
    15. Oassociative
    16. Pstrength
  5. 5How does the RW model explain decreased association?
    1. predicts loss of associative strength even when [blank_start]CS[blank_end] is [blank_start]paired[blank_end] with [blank_start]US[blank_end]
    2. initially condition each [blank_start]CS[blank_end] [blank_start]separately[blank_end] with [blank_start]US[blank_end] until [blank_start]Vmax[blank_end] is reached
    3. when combined into [blank_start]compound[blank_end] [blank_start]stimulus[blank_end] = exceed [blank_start]Vmax[blank_end] = each takes [blank_start]half[blank_end] of [blank_start]associative[blank_end] [blank_start]strength[blank_end] = both now have decreased [blank_start]associative[blank_end] [blank_start]strength[blank_end]
    1. ACS
    2. Bpaired
    3. CUS
    4. DCS
    5. Eseparately
    6. FUS
    7. GVmax
    8. Hcompound
    9. Istimulus
    10. JVmax
    11. Khalf
    12. Lassociative
    13. Mstrength
    14. Nassociative
    15. Ostrength
  6. 6How is latent inhibition a limitation of the RW model?
    1. effect of [blank_start]CS[blank_end] [blank_start]pre-exposure[blank_end] = model predicts no [blank_start]conditioning[blank_end] because no [blank_start]US[blank_end] present ([blank_start]Vmax[blank_end] = [blank_start]0[blank_end])
    2. however, actually found [blank_start]effect[blank_end] = conditioning [blank_start]slower[blank_end] in [blank_start]pre-exposed[blank_end] group
    1. ACS
    2. Bpre-exposure
    3. Cconditioning
    4. DUS
    5. EVmax
    6. F0
    7. Geffect
    8. Hslower
    9. Ipre-exposed
  7. 7How is configural learning a limitation to the RW model?
    1. model predicts [blank_start]associative[blank_end] [blank_start]strength[blank_end] of [blank_start]compound[blank_end] stimulus to be [blank_start]sum[blank_end] of all [blank_start]CS[blank_end] = predicts [blank_start]greater[blank_end] response to [blank_start]compound[blank_end] stimulus than [blank_start]separate[blank_end] components
    2. however = [blank_start]response[blank_end] higher when presented [blank_start]alone[blank_end], treated [blank_start]compound[blank_end] as [blank_start]novel[blank_end] stimulus
    1. Aassociative
    2. Bstrength
    3. Ccompound
    4. Dsum
    5. ECS
    6. Fgreater
    7. Gcompound
    8. Hseparate
    9. Iresponse
    10. Jalone
    11. Kcompound
    12. Lnovel
  8. 8How is occasion setting a limitation to the RW model?
    1. [blank_start]light[blank_end] led to [blank_start]food[blank_end] only if [blank_start]tone[blank_end] present = next presented [blank_start]tone[blank_end] without [blank_start]food[blank_end], but [blank_start]tone[blank_end] not [blank_start]extinguished[blank_end] = still responded more to [blank_start]pair[blank_end] than just [blank_start]light[blank_end]
    2. [blank_start]tone[blank_end] not directly associated with [blank_start]US[blank_end], but [blank_start]facilitator[blank_end] for CS/US [blank_start]association[blank_end]
    1. Alight
    2. Bfood
    3. Ctone
    4. Dtone
    5. Efood
    6. Ftone
    7. Gextinguished
    8. Hpair
    9. Ilight
    10. Jtone
    11. KUS
    12. Lfacilitator
    13. Massociation
  9. 9What is the theory of attention?
    1. during conditioning trials with [blank_start]multiple[blank_end] [blank_start]stimuli[blank_end] present, [blank_start]attend[blank_end] to only one or few and only [blank_start]learn[blank_end] about [blank_start]selected[blank_end] [blank_start]stimuli[blank_end]
    2. learning is [blank_start]active[blank_end] = [blank_start]seek[blank_end] info to [blank_start]predict[blank_end] [blank_start]biologically[blank_end] significant event ([blank_start]US[blank_end]), [blank_start]ignore[blank_end] other stimuli, recognize [blank_start]correlation[blank_end] between CS/US
    1. Amultiple
    2. Bstimuli
    3. Cattend
    4. Dlearn
    5. Eselected
    6. Fstimuli
    7. Gactive
    8. Hseek
    9. Ipredict
    10. Jbiologically
    11. KUS
    12. Lignore
    13. Mcorrelation
  10. 10What is learned irrelevance?
    1. theory of [blank_start]attention[blank_end]
    2. [blank_start]CS[blank_end] [blank_start]pre-exposure[blank_end] = animal learns CS [blank_start]irrelevant[blank_end], stop [blank_start]attending[blank_end], difficulty [blank_start]learning[blank_end] [blank_start]association[blank_end] later
    3. evidence = greater [blank_start]interference[blank_end] by [blank_start]uncorrelated[blank_end] [blank_start]presentations[blank_end] of CS/US [blank_start]together[blank_end] than either [blank_start]alone[blank_end]
    4. evidence = CS [blank_start]effectiveness[blank_end] decreased when US already [blank_start]predicted[blank_end] ([blank_start]blocking[blank_end]) = increase [blank_start]US[blank_end] [blank_start]intensity[blank_end] to regain [blank_start]effectiveness[blank_end], cause [blank_start]surprise[blank_end]
    1. Aattention
    2. BCS
    3. Cpre-exposure
    4. Dirrelevant
    5. Eattending
    6. Flearning
    7. Gassociation
    8. Hinterference
    9. Iuncorrelated
    10. Jpresentations
    11. Ktogether
    12. Lalone
    13. Meffectiveness
    14. Npredicted
    15. Oblocking
    16. Pintensity
    17. QUS
    18. Reffectiveness
    19. Ssurprise

Información

Descripción
Test sobre Sin título, creado por Taylor Falcone el 19/03/2021.
Idioma
English
Visitas
0
Valoración
Aún sin valoraciones
Valora este test
Valora este test

Escríbenos

¿Sobre qué es tu mensaje?

¿Qué te parece el nuevo diseño?

¿Te gusta?