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Diagram of the network looks:
(b) When both x and y are large, i.e., both A and B are firing, w is increasing without bound. When one or both of x and y are small, w does not change or changes slowly. This may be seen as formalization of a stable learning.
(c) If A and B keep firing together in time during a lifetime, w will increase without bound. This behavior cannot be biologically sustained because of synaptic normalization mechanism:
there are constraints that limit the magnitude of the weight to some value, there is a competition between the input neurons.
Construction and working of Fabry perot interferometer
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how heat energy is liberated during respiration?
Q State Faraday's laws of electromagnetic induction. First law At any time the amount of magnetic flux linked with a closed circuit changes an emf is induced in the circu
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