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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 5 of 8

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Q41.
What is differential hebbian learning?

a.

synaptic strength is proportional to correlation between firing of post and presynaptic neuron

b.

synaptic strength is proportional to correlation between firing of postsynaptic neuron only

c.

synaptic strength is proportional to correlation between firing of presynaptic neuron only

d.

synaptic strength is proportional to changes in correlation between firing of post and presynaptic neuron

Discuss
Answer: (d).synaptic strength is proportional to changes in correlation between firing of post and presynaptic neuron
Q42.
What is competitive learning?

a.

learning laws which modulate difference between synaptic weight and output signal

b.

learning laws which modulate difference between synaptic weight and activation value

c.

learning laws which modulate difference between actual output and desired output

d.

none of the mentioned

Discuss
Answer: (a).learning laws which modulate difference between synaptic weight and output signal
Q43.
What is differential competitive learning?

a.

synaptic strength is proportional to changes of post and presynaptic neuron

b.

synaptic strength is proportional to changes of postsynaptic neuron only

c.

synaptic strength is proportional to changes of presynaptic neuron only

d.

none of the mentioned

Discuss
Answer: (d).none of the mentioned
Q44.
What is error correction learning?

a.

learning laws which modulate difference between synaptic weight and output signal

b.

learning laws which modulate difference between synaptic weight and activation value

c.

learning laws which modulate difference between actual output and desired output

d.

none of the mentioned

Discuss
Answer: (c).learning laws which modulate difference between actual output and desired output
Q45.
Continuous perceptron learning is also known as delta learning?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q46.
Widrows LMS algorithm is also based on error correction learning?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q47.
Error correction learning is type of?

a.

supervised learning

b.

unsupervised learning

c.

can be supervised or unsupervised

d.

none of the mentioned

Discuss
Answer: (a).supervised learning
Q48.
Error correction learning is like learning with teacher?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Q49.
What is reinforcement learning?

a.

learning is based on evaluative signal

b.

learning is based o desired output for an input

c.

learning is based on both desired output and evaluative signal

d.

none of the mentioned

Discuss
Answer: (a).learning is based on evaluative signal
Q50.
Reinforcement learning is also known as learning with critic?

a.

YES

b.

NO

c.

May be YES or NO

d.

Can't Say

Discuss
Answer: (a).YES
Page 5 of 8

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