Podcast
Questions and Answers
What is the term used to describe the fundamental units in biological neural networks?
What is the term used to describe the fundamental units in biological neural networks?
- Hebbian learning
- Computational neuron (correct)
- Perceptron
- Synaptic strengths
Which concept is involved in adjusting the synaptic weights based on correlated activity of pre- and post-synaptic neurons?
Which concept is involved in adjusting the synaptic weights based on correlated activity of pre- and post-synaptic neurons?
- Hebbian learning (correct)
- Synaptic strengths
- Perceptron
- Machine learning
In machine learning, what term is used to describe a type of artificial neuron that can learn and make decisions?
In machine learning, what term is used to describe a type of artificial neuron that can learn and make decisions?
- Computational neuron
- Synaptic strengths
- Perceptron (correct)
- Hebbian learning
Which methodology aims to overcome the limitations of a single-layer perceptron by introducing multiple layers for complex decision-making?
Which methodology aims to overcome the limitations of a single-layer perceptron by introducing multiple layers for complex decision-making?
What is the primary focus of Hebbian learning in neural networks?
What is the primary focus of Hebbian learning in neural networks?
Which process involves enhancing the synaptic connection between neurons when they are activated simultaneously?
Which process involves enhancing the synaptic connection between neurons when they are activated simultaneously?
What did Donald Hebb postulate in 1949 regarding neural networks learning?
What did Donald Hebb postulate in 1949 regarding neural networks learning?
In computational neurons, what influences the input to the next neuron?
In computational neurons, what influences the input to the next neuron?
What is one way synaptic strength in a biological neural network can be learned?
What is one way synaptic strength in a biological neural network can be learned?
What happens if a synapse is used more according to Hebbian learning theory?
What happens if a synapse is used more according to Hebbian learning theory?
How are synaptic strengths in computational neurons influenced?
How are synaptic strengths in computational neurons influenced?
What happens to the integration of excitatory and inhibitory signals in post-synaptic neurons?
What happens to the integration of excitatory and inhibitory signals in post-synaptic neurons?
What is the main idea behind Hebbian Learning?
What is the main idea behind Hebbian Learning?
In the context of Machine Learning, how are synaptic strengths (weights) determined?
In the context of Machine Learning, how are synaptic strengths (weights) determined?
What key characteristic does a Perceptron model capture in decision-making?
What key characteristic does a Perceptron model capture in decision-making?
How does a Perceptron differ from Hebbian Learning in terms of training?
How does a Perceptron differ from Hebbian Learning in terms of training?
Why are Perceptrons considered brittle in computational models?
Why are Perceptrons considered brittle in computational models?
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