M. W. Spratling, "Pre-synaptic lateral inhibition provides a better architecture for self-organizing neural networks," Network: Computation in Neural Systems, vol. 10, pp. 285--301, 1999.  Home/Search   Document Details and Download   Summary   Related Articles   Check

....operation of other networks, such as Spratling s A well known exception to this is anti noise systems, which deliberately cancel unwanted sound by addition of a matching sound 180 degrees out of phase. 516 pre synaptic lateral inhibition network, which has also been applied to the Bars problem [10]. 3. PROBLEM STATEMENT Suppose we are presented with an data matrix . We often consider this to be a sequence of input vectors 8615 60996 99 where each vector contains simultaneous observations. We wish to decompose as (1) where the 53424 40 ....

M. W. Spratling, "Pre-synaptic lateral inhibition provides a better architecture for self-organizing neural networks," Network: Computation in Neural Systems, vol. 10, pp. 285--301, 1999.

....the operation of other networks, such as Spratling s A well known exception to this is anti noise systems, which deliberately cancel unwanted sound by addition of a matching sound 180 degrees out of phase. pre synaptic lateral inhibition network, which has also been applied to the Bars problem [10]. 3. PROBLEM STATEMENT Suppose we are presented with an n p data matrix X. We often consider this to be a sequence of p input vectors (x 1 ; x 2 ; x p ) where each vector x k contains n simultaneous observations. We wish to decompose X as X = WY (1) where the m p matrix Y = y 1 ; y ....

M. W. Spratling, "Pre-synaptic lateral inhibition provides a better architecture for self-organizing neural networks," Network: Computation in Neural Systems, vol. 10, pp. 285--301, 1999.

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