Neurobiology of decision making 2

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28 Terms

1
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what did Schuck et al (2015) investigate?

Which brain areas are involved when we try to optimise our decision making in terms of taking shortcuts.

2
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Schuck et al (2015) study

participants presented with random dot patterns inside a frame.

- patterns presented towards left, right, upper, lower corner etc

- ptps to detect shifts in pattern within square

- press right button/left button is correspondence with shift.

3
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What was the hidden shortcut to make decisions in Schuck et al (2015)'s study?

The colours determine the response needed.

- red pattern = right

- green pattern = left

4
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Schuck et al (2015) findings

- some ptps did not learn this shortcut, some participants did.

5
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which areas were found to be activated? Schuck et al (2015)

Activity in the Medial frontal cortex

- ptps used colour to inform decision decoded from activity in MFC.

- group membership to shift in strategy or no shift could be predicted even before strategy shift happened based on activity in MFC.

6
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Schuck et al (2015) shows:

aspects relevant for decision making are represented in the MFC

- linked to memory formation in a decision making task (associations)

7
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what is state space representation? Kaplan et al (2017)

a cognitive map of a problem you want to solve in a grid like neural representation. complex problems that involve making many different decisions - overall goal broken down into sub steps to achieve goal/make decisions.

- task specific adapted to goal.

<p>a cognitive map of a problem you want to solve in a grid like neural representation. complex problems that involve making many different decisions - overall goal broken down into sub steps to achieve goal/make decisions. </p><p>- task specific adapted to goal. </p>
8
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Where in the brain are state spaces represented?

Orbito and medial frontal cortex.

9
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What are hidden states? Kaplan et al (2017)

a specific stage of the problem solving chain - mental exploration is needed to evaluate potential outcomes for different choices are predicted and evaluated.

10
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State spaces help....

Structure new experiences (from navigating a similar experience using state space representation so you don't have to start from scratch)

11
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Which areas of the brain are associated with subjective value of decision options? (fellows 2018)

- striatum and thalamus

- orbitofrontal and ventromedial PFC.

- more activity in this brain area when value is more attractive.

<p>- striatum and thalamus </p><p>- orbitofrontal and ventromedial PFC. </p><p>- more activity in this brain area when value is more attractive. </p>
12
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How do frontal lobe lesions influence decision making?

Lesions in the orbitofrontal and ventromedial PFC disrupt value based decision making and even simple preference judgments.

- inconsistent preferences

- deficient sense of guilt which may influence

13
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how may lesions to the orbitofrontal and ventromedial PFC be detrimental to 'avoiding harm'

A deficient sense of guilt was found which may influence decision making factors - less likely to avoid harm. - evaluate factor of avoiding harm differently

14
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How did frontal lobe lesions influence how ptps made decisions in the trust game?

In comparison tp healthy ptps, person A gives less money to person B (less trust compared to healthy individuals) despite possibility for optimal outcome

- when playing person B - They don't work collaboratively and keep most of money to themselves.

15
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What other brain area is associated with decision making?

The lateral prefrontal cortex

- not involved in value based choices but active in other simple decision paradigms.

16
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what is the frontal pole?

most frontal part of cortex - involved in exploratory behaviour in decision making.

<p>most frontal part of cortex - involved in exploratory behaviour in decision making. </p>
17
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What factors that influence decision making does Carland et al (2019) focus on?

reward rate maximisation

- minimising cost of time and effort

- maximising reward.

18
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What is reward rate maximisation?

The time spent to receive a reward influences the subjective value

19
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how does more options influence reward rate maximisation?

The more options there are the more difficult it is to decide which choice to make (longer deliberation time)

20
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What is deliberation time?

how difficult a decision is to make - influences the time taken to make a decision.

21
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When may there be a short deliberation time despite lots of options?

When all options are very good

22
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Carland et al (2019) formula for reward rate maximisation.

knowt flashcard image
23
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What is inter-trial interval?

How long is needed to wait before reward can be obtained again.

24
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What is the urgency signal?

A mechanism that served to maximise the reward rate by pushing evidence accumulation closer to the threshold.

25
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why is the urgency signal needed?

a long deliberation time is costly as may reduce the rate of obtaining a potential reward.

- evidence accumulation signal needs to be pushed over the threshold to take action so the urgency signal pushes this evidence to the threshold to shorten the deliberation time.

<p>a long deliberation time is costly as may reduce the rate of obtaining a potential reward. </p><p>- evidence accumulation signal needs to be pushed over the threshold to take action so the urgency signal pushes this evidence to the threshold to shorten the deliberation time. </p>
26
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What part of the brain is the urgency signal controlled by?

Controlled by projections from the basal ganglia to cognitive sensorimotor areas

- grows during deliberation time and helps to optimise it.

<p>Controlled by projections from the basal ganglia to cognitive sensorimotor areas</p><p>- grows during deliberation time and helps to optimise it. </p>
27
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The urgency signal is different in...

different individuals (individual differences)

28
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The urgency signal is modulated by....

task context -

smaller decisions = kicks in faster

bigger decisions = more time needed so urgency signal generated later.