Random stuff Flashcards

1
Q

Name the major resting state networks

A
Sensorimotor network
Visual network
Executive Control network
Lateralized fronto-parietal networks
Auditory network
Temporo-parietal network
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2
Q

Name the areas of the DMN

A

Precuneus/posterior cingulate
Lateral parietal area
Medial pfc
(Hippocampus)

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3
Q

Where is the superadditivity principle usually found?

A

Superior colliculus

and also sometimes in the cortex

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4
Q

Are speeded tasks supramodal or modality specific?

A

supramodal

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5
Q

Are simple sensory tasks supramodal or modality specific?

A

modality specific

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6
Q

Are higher-level tasks supramodal or modaility specific

A

supramodal

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7
Q

Example of NCC-pr

A

binocular rivalry

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8
Q

Example of NCC-co

A

neurons in the MTL

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9
Q

Name some possible functions of consciousness

A
integration of relevant information
decision-making and planning
report of information
goal achievement
self-monitoring
self-awareness
reflecting on mistakes
distinguishing between self-generated and externally driven representations
confidence and doubts about memory
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10
Q

Give some examples of predictability

A

Spatial context
How frequently objects occur
Stimuli predict each other
Recently viewed objects

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11
Q

Pros of PNM compared to standard approach

A

Can account for individual differences
Predictive
Can use resting-state data

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12
Q

Cons of PNM compared to standard approach

A

Difficult to interpret
Unclear how variability in fMRI data affects predictions
Extent of change within individuals and over time is unknown

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13
Q

To be criminally responsible, you need

A

Consciousness

Sense of agency

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14
Q

Which neuroscience methods provide causal evidence?

A
Deep brain stimulation (DBS)
Transcranial magnetic stimulation (TMS)
Transcranial electric stimulation (TES)
Transcranial direct current stimulation (tDCS)
Pharmacological agonists and antagonists
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15
Q

Which neuroscience methods provide correlational evidence

A

Multi-voxel pattern analysis (MVPA)

Representational similarity analysis (RSA)

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16
Q

Problems of the reproducibility problem of neuroscience methods

A

High dimenstionality of data
Low statistical power of many studies
High degree of analytic flexibility in data analysis procedures
Circular data analysis: hypothesize + test on same data

17
Q

Solution to the reproducibility problem of neuroscience methods

A

Data sharing
Free and open source data analysis packages
Focus on out-of-sample generalization (external validity)