History Flashcards

1
Q

Definition of Cognitive Neuroscience

A

Scientific study of biological mechanisms underlying cognition.

Investigates the neural substrates of mental processes and associated behaviors.

Asks how are psychological/cognitive functions produced by neural circuitry?

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2
Q

The Cognitive Neuroscience Triangle

A

Computation

Brain

Behavior

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3
Q

Major Neuroscience Journals

A

Brain: 1878

Journal of experimental psychology: 1916

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4
Q

Major Cognitive Neuroscience Journals

A

Cognitive Brain Research: 1992

Journal of Cognitive Neuroscience: 1988

Brain and Cognition: 1982

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5
Q

What do Fechner, Helmholtz and Wundt all have in common?

A

Connected perception to physical properties of stimuli – psychophysics.

Relied heavily on reports of participants about their observations, perceptions and experiences – empiricism.

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6
Q

What big text did Wundt publish and when?

A

Wundt Published principles of physiological psychology in 1874.

Established the first experimental psychology laboratory in Leipzig Germany in 1879.

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7
Q

What do Pavlov, Thorndike, and Skinner have in common?

A

Behaviorists

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8
Q

Limitations of behaviorism

A

Study of behavior is limited to observable processes related to stimulus and response.

Could not study the intervening mental processes because they were not observable.

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9
Q

When did behaviorism become dominant?

A

Dominant from early to mid 1900’s by familiar scientists such as Pavlov, Thorndike, Skinner

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10
Q

Cognitive revolution

A

New ideas emerging in the 1950’s challenged the view of behaviorism.

It was possible to study and understand cognitive processes.

Computers and artificial intelligence allowed for simulation of mental processes.

Biological psychology allowed for direct measure of mental process

Noam Chomsky’s view of language (and review of B.F. Skinners book on language) further contributed - There are things that no amount of learning can teach

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11
Q

Information theory

A

Inspired concepts in cognitive revolution

Gave us the “bit” as a fundamental measure of information.

Applied to human brain function to understand:
Limits of neural signalling
Nature of neural codes
Brain as a communications network.

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12
Q

Who invented information theory?

A

Developed by Claude Shannon in 1948 at Bell Labs to quantify amount of information a system can carry.

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13
Q

Drawbacks of brain as a computer

A

Comparison is too simplistic and most have abandoned it.

There is not distinction between hardware and software in the brain.

Neurons are non-linear, plastic and incredibly complex.
The brain is self organizing.

Brains are embodied.

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14
Q

Process Models

A

Consider cognitive function as a series of discrete mental processes.

Devise behavioral measures to test hypothesis about processes.

Mental process can be inferred from behavioral measures.

Reaction time is a common and popular measure.

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15
Q

Mental chronometry

A

The time it takes to make a response to a stimulus or instruction provides insight into the underlying mental processes.

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16
Q

Memory paradigm

A

Participants are presented with a set of letters to remember – memory set

Then presented with a probe letter - probe

Must indicate as quickly as possible if letter is in the memory set (positive) or not (negative).

Use reaction time to the probes to test the process model.

Hypothesize that reaction time increases with the number of items in memory set.

17
Q

What do simple models of brain function assume

A

Assumes linear and sequential processing of information by independent stages.

18
Q

Franz Joseph Gall

A

(Early 1800’s)

Phrenology: Cortical localization of function

19
Q

Jean Pierre Flourens

A

(1825)

Aggregate Field Theory

20
Q

Paul Broca

A

(1860)

Localized lesion disrupts specific ability to speak.

21
Q

Gustav Frisch & Eduard Hitzig

A

(1870s)

Cortical stimulation in dogs generated movement of specific mucles.

22
Q

Korbinian Brodmann

A

(1909)

Cytoarchitectonics: cellular organization of the cortex.

23
Q

Camillo Golgi & Santiago Ramon Cajal

A

(late 1800’s)

Neural Doctrine: the neuron is the individual unit of the nervous system.

24
Q

Connectionist Models of Brain Function

A

Models that more accurately represent brains neural circuitry.

Information is processed in parallel along a number of channels.

Feedforward~feedback and excitatory~ inhibitory connections allow for interaction between different stages of processing.

Processing stages are not independent.

Cognition arises from the interaction of large numbers of broadly distributed neurons.

25
Q

Small world networks in terms of the brain

A

Brain is organized according to two basic principles:

Functionally segregated brain areas process specialized information.

Complex cognition emerges from the interaction among distinct brain regions

26
Q

Why are small world networks good models?

A

Model of the brain need to account for the seemingly incompatible notions of segregation and integration.

Small world networks accomplish this task.

27
Q

Generic small world networks

A

Small world networks are characterized by many short range connections and few long range connections.

Very efficient form of communication.

Minimizes path length

Has low “wiring” costs and therefore uses the least amount of energy and uses the least amount of space.

28
Q

Hubs

A

nodes that act as central connection points

These hubs provide most of the long range communication in the brain