Neurl Netwoeks Flashcards

1
Q

What is the retrograde motion & what’s the explanation toe it?

A

→ Helios & Gods driving chariots

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2
Q

What was the Copernican heliocentric model?

A

→ sun is the centre & we are around orbiting it
→ problem: did not predict as good as the previous theory
- went against religious belief
- did not predictthe correct path of planets

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3
Q

Keplers law of planetary motion

A

→sun at center
-Planets followed a elliptical orbit
→ follows the goals of science

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4
Q

What is thefundamental tradeoff in models?

A

Maximize explanatory power while min. Complexity

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5
Q

What is a complex system & its predictability?

A

Situations where there A lot of interacting parts

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6
Q

What is the butterfly effect

A

butterfly effect: sensitive dependencies on initial conditions which is very hard to obtain

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7
Q

What are quantitative models of cognition?

A

→ diff approaches dependson the lovel of details

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8
Q

What are the mathematical models of cog?

A

①fits model: how long it takes to make an action based on the distance of target.

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9
Q

What are the symbolic models focused on in the 1600’s?

A

→ mind a system manipulating symbols.
production rules: or if-then rule
These models weren’t explaining abstract explanation as how sound hits the ere & processed

-Focused on high level or symbolic level

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10
Q

What is the dynamical system models

A

Mind is a point moving through abstract mental space
→ things are along a continuum.
→ if neurons are firing in one pattern then its one thought
→ decisions aren’t all or none its male of continuum to choose

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11
Q

Hybrid models

A

→combining approaches ( symbolic & neural networks)
→ neural network model converts visual into letter or words then symbolic converts it into comprehensible answer or tell us a meaning

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12
Q

What is the artificial neural network?

A

-now do neurons work
Functionally → infant-integration →communication to other neurons

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13
Q

Integrate I fire model of neuron

A

→ input has strength associated
Strength: how many actions potential is the neuron firing
Weighted inputs summed togetherpassed through a a a function determining a level of an output

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