A. In feedforward manner
B. In feedback manner
C. Both feedforward & feedback
D. Either feedforward & feedback

A. When input is given to layer f1, the the jth(say) unit of other layer f2 will be activated to maximum extent
B. When weight vector for connections from jth unit (say) in f2 approaches the activity pattern in f1(comprises of input vector)
C. Can be either way
D. None of the mentioned

A. When input is given to layer f1, the the jth(say) unit of other layer f2 will be activated to maximum extent
B. When weight vector for connections from jth unit (say) in f2 approaches the activity pattern in f1(comprises of input vector)
C. Can be either way
D. None of the mentioned

A. Content addressing the memory
B. Memory addressing the content
C. Either content addressing or memory addressing
D. Both content & memory addressing

A. Content addressing the memory
B. Memory addressing the content
C. Either content addressing or memory addressing
D. Both content & memory addressing

A. Instar
B. Outstar
C. Autoassociative memory
D. Heteroassociative memory

A. Group of instars
B. Group of oustar
C. Either group of instars or outstars
D. Both group of instars or outstars

A. Short topology memory
B. Stimulated topology memory
C. Short term memory
D. None of the mentioned

A. Activation state of network
B. Encoded pattern information pattern in synaptic weights
C. Either way
D. Both way

A. Activation state of network
B. Encoded pattern information pattern in synaptic weights
C. Either way
D. Both way