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What is the McCulloch-Pitts neuron?
What is the McCulloch-Pitts neuron?
- A model of the human brain
- A model of the human nervous system
- A type of biological neuron
- A computational model of neural networks (correct)
What determines the strength or importance of each input in the McCulloch-Pitts neuron?
What determines the strength or importance of each input in the McCulloch-Pitts neuron?
- The binary nature of the input
- The magnitude of the input
- The weights (correct)
- The threshold
What happens if the weighted sum in the McCulloch-Pitts neuron exceeds the threshold value?
What happens if the weighted sum in the McCulloch-Pitts neuron exceeds the threshold value?
- The neuron fires and produces an output of 1 (correct)
- The neuron produces an output of 2
- The neuron fires and produces an output of 0
- The neuron does not fire
What is the advantage of the binary nature of the McCulloch-Pitts neuron?
What is the advantage of the binary nature of the McCulloch-Pitts neuron?
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What is the disadvantage of the binary limitation of the McCulloch-Pitts neuron?
What is the disadvantage of the binary limitation of the McCulloch-Pitts neuron?
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What is the disadvantage of the lack of learning capability in the McCulloch-Pitts neuron?
What is the disadvantage of the lack of learning capability in the McCulloch-Pitts neuron?
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What is the disadvantage of the limited expressiveness of the McCulloch-Pitts neuron?
What is the disadvantage of the limited expressiveness of the McCulloch-Pitts neuron?
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