Introducing cognitive neuroscience Flashcards

1
Q

A variety of higher
mental processes such
as ­ thinking, perceiving,
imagining, speaking,
acting and planning

A

Cognition

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2
Q

Aims to explain cognitive
processes in terms of
brain-based mechanisms

A

Cognitive neuroscience

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3
Q

The problem of how a
physical substance (the
brain) can give rise to our
sensations, thoughts and
emotions (our mind)

A

Mind-body problem

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4
Q

The belief that mind
and brain are made up
of different kinds of
substance

A

Dualism

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5
Q

The belief that mind and
brain are two levels of
description of the same
thing

A

Dual-aspect theory

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6
Q

The belief that mind-
based concepts will
eventually be replaced by
neuroscientific concepts

A

Reductionism

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7
Q

The failed idea that
individual differences in
cognition can be mapped
onto differences in skull
shape

A

Phrenology

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8
Q

Different regions of the
brain are specialized for
different functions

A

Functional specialization

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9
Q

The study of brain-
damaged patients to
inform theories of normal
cognition

A

Cognitive neuropsychology

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10
Q

An approach in which
behavior is described in
terms of a sequence of
cognitive stages

A

Information processing

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11
Q

The notion that certain
cognitive processes (or
regions of the brain) are
restricted in the type of
information they process

A

Modularity

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12
Q

The idea that a cognitive
process (or brain region)
is dedicated solely to
one particular type of
information (e.g., colors,
faces, words)

A

Domain specificty

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13
Q

Later stages of processing
can begin before earlier
stages are complete

A

Interactivity

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14
Q

The influence of later stag-
es on the processing of
earlier ones (e.g., memory
influences on perception)

A

Top-down processing

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15
Q

The passage of informa-
tion from simpler (e.g.,
edges) to more complex
(e.g., objects)

A

Bottom-up processing

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16
Q

Different information is
processed at the same
time (i.e., in parallel)

A

Parallel processing

17
Q

Computational models
in which information
processing occurs using
many interconnected
nodes

A

Neural network models

18
Q

The basic units of neural
network models that are
activated in response to
activity in other parts of
the network

A

Nodes

19
Q

The accuracy with which
one can measure when
an event (e.g., a physiological change) occurs

A

Temporal resolution

20
Q

The accuracy with
which one can measure
where an event (e.g., a
physiological change) is
occurring

A

Spatial resolution

21
Q

A comprehensive map
of neural connections
in the brain that may be
thought of as its “wiring
diagram”

A

Connectome

22
Q

A mathematical tech-
nique for computing the
pattern of connectivity (or
“wiring diagram”) from a
set of correlations

A

Graph theory