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Welcome to the Activation and Synaptic Dynamics MCQs Page

Dive deep into the fascinating world of Activation and Synaptic Dynamics with our comprehensive set of Multiple-Choice Questions (MCQs). This page is dedicated to exploring the fundamental concepts and intricacies of Activation and Synaptic Dynamics, a crucial aspect of Neural Networks. In this section, you will encounter a diverse range of MCQs that cover various aspects of Activation and Synaptic Dynamics, from the basic principles to advanced topics. Each question is thoughtfully crafted to challenge your knowledge and deepen your understanding of this critical subcategory within Neural Networks.

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Check out the MCQs below to embark on an enriching journey through Activation and Synaptic Dynamics. Test your knowledge, expand your horizons, and solidify your grasp on this vital area of Neural Networks.

Note: Each MCQ comes with multiple answer choices. Select the most appropriate option and test your understanding of Activation and Synaptic Dynamics. You can click on an option to test your knowledge before viewing the solution for a MCQ. Happy learning!

Activation and Synaptic Dynamics MCQs | Page 2 of 8

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Q11.
Activation value is associated with?

a.

potential at synapses

b.

cell membrane potential

c.

all of the mentioned

d.

none of the mentioned

Discuss
Answer: (b).cell membrane potential
Q12.
In activation dynamics is output function bounded?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q13.
What’s the actual reason behind the boundedness of the output function in activation dynamics?

a.

limited neural fluid

b.

limited fan in capacity of inputs

c.

both limited neural fluid and fan in capacity

d.

none of the mentioned

Discuss
Answer: (d).none of the mentioned
Q14.
What is noise saturation dilemma?

a.

at saturation state neuron will stop working, while biologically it’s not feasible

b.

how can a neuron with limited operating range be made sensitive to nearly unlimited range of inputs

c.

can be either way

d.

none of the mentioned

Discuss
Answer: (b).how can a neuron with limited operating range be made sensitive to nearly unlimited range of inputs
Q15.
Broadly how many kinds of stability can be defined in neural networks?

a.

1

b.

3

c.

2

d.

4

Discuss
Answer: (c).2
Q16.
What is structural stability?

a.

when both synaptic and activation dynamics are simultaneously used and are in equilibrium

b.

when only synaptic dynamics in equilibrium

c.

when only synaptic dynamics in equilibrium

d.

none of the mentioned

Discuss
Answer: (d).none of the mentioned
Q17.
What is global stability?

a.

when both synaptic and activation dynamics are simultaneously used and are in equilibrium

b.

when only synaptic and activation dynamics are used

c.

when only synaptic dynamics in equilibrium

d.

none of the mentioned

Discuss
Answer: (a).when both synaptic and activation dynamics are simultaneously used and are in equilibrium
Q18.
Which models belongs to main subcategory of activation models?

a.

additive and subtractive activation models

b.

additive and shunting activation models

c.

subtractive and shunting activation models

d.

all of the mentioned

Discuss
Answer: (b).additive and shunting activation models
Q19.
What is the assumption of perkels model, if f(x) is the output function in additive activation model?

a.

f(x)=x

b.

f(x)=x²

c.

f(x)=x³

d.

none of the mentioned

Discuss
Answer: (a).f(x)=x
Q20.
Who proposed the shunting activation model?

a.

rosenblatt

b.

hopfield

c.

perkel

d.

grossberg

Discuss
Answer: (d).grossberg
Page 2 of 8

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