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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 1 of 8

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Q1.
Weight state i.e set of weight values are determined by what kind of dynamics?

a.

synaptic dynamics

b.

neural level dynamics

c.

can be either synaptic or neural dynamics

d.

none of the mentioned

Discuss
Answer: (a).synaptic dynamics
Q2.
Which is faster neural level dynamics or synaptic dynamics?

a.

neural level

b.

synaptic

c.

both equal

d.

insufficient information

Discuss
Answer: (a).neural level
Q3.
During activation dynamics does weight changes?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (b).NO
Q4.
Activation dynamics is referred as?

a.

short term memory

b.

long term memory

c.

either short or long term

d.

both short and long term

Discuss
Answer: (a).short term memory
Q5.
Synaptic dynamics is referred as?

a.

short term memory

b.

long term memory

c.

either short or long term

d.

both short and long term

Discuss
Answer: (b).long term memory
Q6.
What is classification?

a.

deciding what features to use in a pattern recognition problem

b.

deciding what class an input pattern belongs to

c.

deciding what type of neural network to use

d.

none of the mentioned

Discuss
Answer: (b).deciding what class an input pattern belongs to
Q7.
What is generalization?

a.

the ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the test set.

b.

the ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the training set.

c.

can be either way

d.

none of the mentioned

Discuss
Answer: (b).the ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the training set.
Q8.
What are models in neural networks?

a.

mathematical representation of our understanding

b.

representation of biological neural networks

c.

both way

d.

none of the mentioned

Discuss
Answer: (c).both way
Q9.
What kind of dynamics leads to learning laws?

a.

synaptic

b.

neural

c.

activation

d.

both synaptic and neural

Discuss
Answer: (a).synaptic
Q10.
Changing inputs affects what kind of dynamics directly?

a.

synaptic

b.

neural

c.

activation

d.

both synaptic and neural

Discuss
Answer: (c).activation
Page 1 of 8

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