On Quantum Neural Computing

This paper examines the notion of quantum neural computing in the context of several new directions in neural network research. In particular , we consider new neuron and network models that lead to rapid training; chaotic dynamics in neuron assemblies; models of attention and awareness; cytoskeletal microtubule information processing; and quantum models. Recent discoveries in neuroscience that cannot be placed in the re-ductionist models of biological information processing are examined. We consider some characteristics of a quantum neural computer. We show that information is not a locally additive variable in a quantum computation ; this property may be used to examine the nature of biological information structures.