In a neural network, the strength of a synapse (or
connection) between two neurons. Weights may be positive
(excitatory) or negative (inhibitory). The thresholds
of a neuron are also considered weights, since they undergo
adaptation by a learning algorithm.
Noise that uniformly distributed in the frequency domain;
randomness that is uniformly distributed; thus, a white noise
process with a range of 0 to 1 would yield a random number in this
range with probability equal for all possible values. Brown
noise is a result of cumulatively adding white noise.