Title: Rescorla-Wagner Model
1Rescorla-Wagner Model
- Can account for some Pavlovian Conditioning
- phenomena
- unblocking with an upshift
- Cannot account for some Pavlovian Conditioning
- phenomena
- extinction (i.e., spontaneous recovery)
- unblocking with a downshift
- temporal factors (i.e., CS-US interval)
2Pearce-Hall Model
- attention model of conditioning
- according to the model, it is highly adaptive to
pay - pay attention to, or process, CSs that could
become - valid predictors of important outcomes (i.e., USs)
- it is also adaptive not to pay attention to, or
process, - CSs when the important event is already predicted
by - something else
3Pearce-Hall Model
- also based on the concept of surprise
- when the subject is surprised, attention to, or
- processing of the CS occurs
- as the US becomes predicted by a CS, and is less
- surprising, processing of the CS declines
- The amount of processing, that is associability
of a CS, - changes on each trial depending on whether the US
was - predicted (on the previous trial)
- If the US was predicted, then attention to the
CS - declines
- If the US was not predicted, then attention to
the CS - increases
4Pearce-Hall Model
?VA k(? VT)
Recall from the RW Model,
k constant salience or associability of the CS
With the PH Model, k changes across trials (CS
processing model, not a US processing model)
5Pearce-Hall Model
kAN ?N-1 VAN-1
kAN associative strength or associability of
CSA on trial N
?N-1 strength of the US on previous trial
VAN-1 strength of CSA on previous trial (could
become VT if more than one CS)
Important point k depends on what happened on
the previous trial on first exposure, novelty
causes some attention
6Pearce-Hall Model
kAN ?N-1 VAN-1
Early in training, when the strength of the CS is
low (i.e., ? V is high) see high k value and
thus, more attention to the CS
When the CS is strong in later trials (i.e., ?
V is small) attention to the CS is low
The important point is that attention to the CS
changes across trials
7Pearce-Hall Model
Attention to, or processing of, the CS can be
measured in terms of an OR (i.e., looking at a L)
This is different than the CR
Support for the PH Model comes from the finding
that subjects orient towards novel stimuli and
maintain their orientation, provided the
stimulus is a poor predictor of the US
8Kaye Pearce compared the OR in 3 groups of rats
Group 1
L alone
Group 2
L
condensed milk
Group 3
L
milk/no milk (inconsistent/random)
Looked at OR to L
Attention (OR) was high on the first trial since
the L is novel
9(No Transcript)
10kAN ?N-1 VAN-1
Group 1 L alone
k stays low (decrease attention)
Group 2 L milk
VA gets bigger over time which makes the total
term smaller (this means small k and decrease in
attention)
Group 3 L milk/no milk
Attention remains high since VA is low
11When the CS is not a good predictor, rats
maintained their attention to the cue If the CS
is a good predictor (of the US or no US), then
attention decreases
12Pearce-Hall Model and Blocking
- like the RW Model, all CSs combine to predict
the US
- if one CS already predicts the US, then pay less
- attention to all CSs on that trial
- when a new CS is added, should pay attention to
it - because it is novel
- therefore, should see some conditioning to the
new cue - on the first trial based on the salience of the CS
13Pearce-Hall Model and Blocking
- only after first trial is over would the animal
know that - nothing new had happened
- according to the model, should see blocking from
trial - 2 and onwards
- however, in most cases see blocking right from
the start
14Pearce-Hall Model and Unblocking
kAN ?N-1 VAN-1
- when subjects encounter a US that is not well
predicted, - or is surprising (either bigger or smaller), then
subjects - should pay attention to all CSs on that trial and
get - unblocking
- because the formula includes the absolute value
of - ?N-1 VAN-1 it doesnt matter if the US is
bigger or smaller
- if the US changes well see increase in
attention and - thus, learning
15Pearce-Hall Model and latent inhibition
When the CS is given by itself, see decrease in
attention to the CS over trials (? 0)
However, a problem with the model is that it
cannot explain the context-specificity of LI
If CS pre-exposures are given in one context, and
conditioning occurs in a second context, there
is no retardation of learning
According to the model, k should be low
regardless of context
16The Comparator Hypothesis
- developed by Ralph Miller
- this is a model of performance, not learning
- according to Miller, all CSs have excitatory
power - there is no separate inhibitory process
- the strength of performance (or CR) depends on
the - relative strength of the various excitatory
associations
- a subject compares the excitatory strength of
the - explicit CS to the strength of other cues present
in the - situation, such as apparatus cues
17The Comparator Hypothesis
- when the strength of a CS is relatively greater
than - the background cues, get a measurable CR
- when the strength of a CS is weaker than the
- background cues, get weakened level of excitation
(what - others might call inhibition)
- according to the theory, the competition between
two - excitatory reactions controls performance
18The Comparator Hypothesis
- during normal excitatory, get CS-US pairings
but - the US is also paired with background cues and
these - background cues are the comparator stimuli
- because these background cues are also present
during - the no-US condition, they are typically weaker
than - the explicit CS
- so, under normal conditioning procedures, the CS
has - stronger excitatory strength than the comparator
cues
19The Comparator Hypothesis
- during inhibitory conditioning, the CS is weak
relative - to the background cues
- during inhibitory conditioning, have CS no US
- pairings but the background cues are paired with
the US - and the absence of the US
- thus, the CS is weaker than the background cues
and - see little CR to the CS
20The Comparator Hypothesis
- Prediction After training one can manipulate
the excitatory value of the context and this will
affect the excitatory value of the CS - E.g. After conditioning, give repeated exposure
to the context alone followed by exposure to CS - One will see greater responding to CS
21Temporal Factor Models
- designed to explain the effects of time in
conditioning
- effects of time not considered in US-processing
models - like the RW model nor in CS-processing models
like the - PH model
- CS-US interval is one important temporal variable
- a more critical temporal variable appears to be
the - ratio of the ISI to ITI
22 Midterm Exam Thursday, Feb. 17, 2005
- covers everything up to and including todays
lecture - in the case of a storm, the exam will take place
during - the very next class