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why have all species evolved associative learning?

need to predict and control world around them to survive

what begins a causal relationship?

cause precedes effect in temporal relationship

what has associative learning evolved to allow?

  • a stimulus CS to predict a stimulus US
  • a repsonse R to predict a stimulus US

what was Mahoney & Ayres's experiment?

trained different groups of rats with a tone and shock in 4 conditions:

  1. delay conditioning
  2. trace conditioning (longer interval)
  3. simultaneous conditioning
  4. backward conditioning (shock first)

what did Mahoney & Ayres' find?

two conditions with shock afterwards had longest latency effect (most scared) so had learnt the most

what were the three groups in Rescorla's correlation and associative learning study?

  1. postive - more shocks paired with tone than without
  2. zero- same amount of shocks paired with tone as without
  3. negative - more shocks without tone 

what were the results across the three groups in Rescorla's study?

  1. positive- evidence for excitatory learning
  2. zero- no evidence of learning
  3. negative - evidence for inhibition 

when do pairings produce learning?

when US is shocking

how were the 2 groups conditioned in Kamin's blocking study?

  1. light conditioned with pretrained noise (with shock)
  2. light conditioned with novel noise

what did Kamin find?

the group that had be pretrained with the noise blocked learning that the light caused the shock as they predicted the shock when they were presented together

what does ∆V stand for?

change in associative strength between trials

what does α stand for?

salience of CS - intensity e.g. brightness of light

what does β stand for?

salience of US - e.g. how appetising food is 

what does λ stand for?

size of US

what does ΣV stand for?

sum of all the previous change in associative strength

what does  ( λ - ΣV ) represent?

how surprising the US is also known as prediction error - difference between what you expect and what actually happens

what is the rescorla and wagner equation?

∆V = αβ ( λ - ΣV )

how does increase in learning change between trials?

growth decreases between trials as it becomes more predictable

when does learning stop?

when change in growth of learning reaches asymptote, when US is no longer surprising

how can you increase learning asymptote?

increase size of US e.g. more food

what does increasing the salience of the CS, alpha do?

learning is faster as there is a faster association betweeen CS and US

why does blocking happen?

as one of the preconditioned stimuli fully predicts US there is no prediction error when the second uncoditioned stimuli is presented

what happened in Mackintosh's overshadowing experiment?

Equal numbers of pairings of light with shock, but in overshadowing groups a noise also present – either weedy, quiet n or loud N

what were the results of Mackintosh's study?

  • most learning in control and with quiet n
  • When light low intensity did not really affect how much they learnt
  • less with loud N as it overshadowed

what happens is there are two stimuli competing for prediction strength?

the more salient one will have the higher strength but they will be equal if they are equally as salient

what happens during the process of extinction?

  • change in associative strength is negative as US is taken away
  • the omission of the US is what becomes surprising but in the opposite way
  • CS presented in absence of US after it has become a strong association predictor

what happens during conditioned inhibition?

  • one stimuli will predict US but nothing will happen when both present
  • so both stimuli lose associative strength
  • if one begins neutral it will end up negative 

what is an inhibitor?

  • its negative associative strength subtracts from other predictors of the US
  • And because it starts negative it takes longer to predict the US itself

what can become a predictor that can block learning?

the context can become associated more strongly than the specific stimuli

what is associated learning mainly for?

learning causal relationships