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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.
An object located four focal lengths in front of a thin, converging lens is moved to within two focal lengths of the lens. As a result, does the size of the image produced by
michelson interferometer
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List out five research method its properties and application
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Why we are showing work done over a closed path is zero to prove that electrostatic forces are conservative
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