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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

Explore more Topics under Neural Networks

Discuss
Answer: (b).cell membrane potential
Q12.
In activation dynamics is output function bounded?
Discuss
Answer: (a).YES
Q13.
What’s the actual reason behind the boundedness of the output function in activation dynamics?
Discuss
Answer: (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
Discuss
Answer: (d).none of the mentioned
Discuss
Answer: (a).when both synaptic and activation dynamics are simultaneously used and are in equilibrium
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?
Discuss
Answer: (a).f(x)=x
Q20.
Who proposed the shunting activation model?
Discuss
Answer: (d).grossberg
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