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This quiz contains multiple-choice problems on learning basics and laws, dynamics and activation models, pattern recognition and stability concepts.
The weight state, i.e., set of weight values, are determined by what kind of dynamics?
Synaptic dynamics
Neural level dynamics
Can be either synaptic or neural dynamics
None of the above
Which is faster, neural level dynamics or synaptic dynamics?
Neural level
Synaptic
Both equal
Insufficient information
Does weight change during activation dynamics?
Yes
No
Activation dynamics is referred to as
Short-term memory
Long-term memory
Either short- or long-term
Both short- and long-term
Synaptic dynamics is referred to as
Short-term memory
Long-term memory
Either short- or long-term
Both short- or long-term
What is classification?
Deciding what features to use in a pattern recognition problem
Deciding what class an input pattern belongs to
Deciding what type of neural network to use
None of the above
What is generalization?
The ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the test set
The ability of a pattern recognition system to approximate the desired output values for pattern vectors which are not in the training set
Can be either way
None of the above
What are models in neural networks?
Mathematical representation of our understanding
Representation of biological neural networks
Both way
None of the above
What kind of dynamics leads to learning laws?
Synaptic
Neural
Activation
Both synaptic and neural
Changing inputs directly affects what kind of dynamics?
Synaptic
Neural
Activation
Both synaptic and neural
What are activation models?
Dynamic
Static
Deterministic
None of the above
If xb(t) represents the differentiation of state x(t), then a stochastic model can be represented by
xb(t) = deterministic model
xb(t) = deterministic model + noise component
xb(t) = deterministic model*noise component
None of the above
What is equilibrium in neural systems?
The deviation in present state, when small perturbations occur
The settlement of networks, when small perturbations occur
The change in state, when small perturbations occur
None of the above
What is asynchronous update in a network?
The update done to all units at the same time
The change in state of any one unit drive the whole network
The change in state of any number of units drive the whole network
None of the above
Learning is a
Sow process
Fast process
Can be slow or fast in general
None of the above
