Lab Content Flashcards

1
Q

Famous Names Experiment (Jacoby et al., 1989)

A

Prediction: Participants will forget the source of the memory of the pre-exposed names and falsely attribute their recognising the name to fame

Hypothesis: Participants will label more of the pre-exposed non-famous names as ‘famous’ than completely new non-famous names

DV: Percent guessed as ‘famous’

IV: Type of Name (3 Levels | Famous, Not Famous-New + Not Famous Pre-exposed)

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2
Q

False Memories (Roediger & McDermott (1995)

A

Prediction: Participants will have a false memory that they saw the six related, but not studied, “lure” words

H: Participants will have higher confidence ratings for the new list-related words (lures) than for new, non-list related words

DV: Confidence rating

IV: Type of word (3 Levels | In lists, not in lists-control, not in lists-“lure”)

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3
Q

Types of Spatial Information

A

Location-Based and Movement-Based

both provide information we can use to create COGNITIVE MAPS that help us navigate our environments

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4
Q

Location-Based Spatial Information

A

uses FIXED POINT REFERENCES in the external environment (e.g., landmarks, piloting and beacon homing)

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5
Q

Movement-Based Spatial Information

A

uses information GENERATED FROM OWN MOVEMENTS

PRONE TO ERRORS - nervous system will become less accurate at processing sensory information if under e.g. cognitive load

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6
Q

Spatial Reference Frames

A

Allocentric Space and Egocentric Space

how we encode location information

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7
Q

Allocentric Space

A
  • viewpoint independent
  • uses identifiable environmental features/landmarks
  • the location of one is defined by the relationship to the other thing
  • e.g. the child is a couple hundred miles south of the castle
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8
Q

Egocentric Space

A
  • viewpoint dependent
  • viewpoint different for each observer
  • e.g. the castle is in front of me

as we age, we use egocentric space more (as sensory processing degrades)

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9
Q

Location-Based Information: Piloting

A

trigonometry is used to calculate the position of a hidden location from the positions that are visible as known points of reference

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10
Q

Location-Based Information: Beacon-Homing

A

Travelling directly towards a fixed landmark close to where we want to go (an electronic form of beacon-homing is used on planes, but the landmark = electrical signal)

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11
Q

Types of Movement Cues (MB information our brain uses to create cognitive maps)

A

optic flow
sensory flow
vestibular information
motor efferent copy
kinesthetic information

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12
Q

optic flow

A

movement of visual information (both focal + peripheral), changes, estimates movement, direction and speed

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13
Q

sensory flow

A

like optic flow but for other senses, e.g. air temperature + wind speed, changes in sound dynamics

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14
Q

vestibular information

A

mechanisms in the inner ear can detect head acceleration/deceleration and rotation

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15
Q

motor efferent copy

A

a signal available to the Nervous System to be used to monitor the environment. So if intention is to step forward, signal sent to muscles and also the NS

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16
Q

kinesthetic information

A

feedback from receptors and muscles and joints as we move; can be used as an estimate of how far we’ve walked and if the walk included slopes.

As terrain changes, kinesthetis feedback from legs and feet will change.

17
Q

Path Integration

A

Navigation strategy using mostly movement-based cues.

Limitations: Degradation over time + over-reliance on cues due to firing of non-navigation-related neurons introducing noise into system. Biological basis = NS therefore error-prone

To overcome this, most organisms use a combination of path-integration and fixed points outside of space (combining egocentric and allocentric cues)

18
Q

Black Box Model of the Brain - Cognitive Psychology

A

design theoretical model -> design experiment to test model -> collect RT and accuracy data -> compare real data pattern to model data pattern

can see what goes in and out, but don’t have direct access to what is happening in the brain

19
Q

Domain of Cognitive Psychologists

A

interested in software (processes) of the brain rather than hardware (structural, neuroscience).

20
Q

Subtractive Method (Donders)

A

common sense - to estimate how long it takes us to do certain mental processes, we use 3 specifically-designed reaction time tasks: Choice RT task, Go/No-Go task and the Simple RT task.

21
Q

Choice RT task - processes

A

detect stimulus -> identify stimulus -> select response -> execute response (600-800ms)

22
Q

Go/No Go task - processes

A

identify stimulus -> identify stimulus -> execute response

takes a shorter time to do than the Choice RT, so could give indication of how long it takes to select response using Donders subtractive method!

23
Q

Simple RT task

A

detect stimulus -> execute response

again, we can use the subtractive method to figure out how long it takes to identify a stimulus

24
Q

formulae for subtractive method and mental processes

A

time to SELECT RESPONSE: ChoiceRT - Go/NoGo RT
time to IDENTIFY STIMULUS: Go/NoGo RT - Simple RT

25
Q

Assumptions of Subtractive Method

A

Seriality - must be no overlap of tasks, one processing stage must finish before the next starts

Independence - removal of one task does not affect other tasks.

If either assumption is violated, cannot use the subtractive method.

26
Q

Theory of Signal Detection

A

binary decision with four possible outcomes (hit, miss, false alarm and correct rejection) that can separate out true sensitivity to a signal from higher-order cognitive biases that may be determining decision-making in uncertain circumstances.

could be things informing biases e.g. cost of being wrong

27
Q

Signal Detection Theory: Outcomes

A

Hit (correct) - signal is present
Miss (incorrect) - signal is present
Correct Rejection/CR (correct) - signal is absent
False Alarm/FA (incorrect) - signal is absent

28
Q

Signal Detection Theory: ‘Yes’ Bias

A

more likely to make hits and FAs (say stimulus is there when it is or is not)

29
Q

Signal Detection Theory: ‘No’ Bias

A

more likely to make CRs and misses (say stimulus is not there when it is or is not)

30
Q

Signal Detection Theory: Response Criteria

A

c = measures response bias (+c = ‘Yes’ bias, -c = ‘No’ bias, c=0 no bias, very rare to have none though)

d’ = measures sensitivity/how easy it is to detect the signal you are looking for (high d’ = little/no uncertainty, absence of response bias c=0; low d’ = much uncertainty, response bias occurs +c or -c)

31
Q

Signal Detection Theory: d-prime (d’)

A

signal - e.g. how blurry an image is
receptors - e.g. how is your vision/hearing
alertness - e.g. are you sleepy? redbull?

all determine your ability to tell that the signal is there, even under perfect circumstances.

32
Q

Event Related Potentials

A
33
Q
A