Warren Tryon, author of Cognitive Neuroscience and Psychotherapy, dives into computational neuropsychology, discussing emergence and synaptic reorganization.
It is not enough to call for the study of emergence as I have done in my appeal for a paradigm shift in my book,Cognitive Neuroscience and Psychotherapy: Network Principles for a Unified Theory and in some of my previous blogs. One must also provide tools and some direction for using them to get the ball rolling.
Every parallel-distributed processing connectionist neural network (PDP-CNN) model that I have encountered has focused on the properties of the fully trained “adult” model rather than the process by which these properties emerged. This is because the authors of these simulations have presented their models as demonstration proofs that artificial neural networks are capable of performing certain functions. I agree that this is a necessary first step. It would be premature to study the emergent process unless, or until, one first demonstrated that the network in question is capable of generating the desirable psychological properties. But now that so many psychological and behavioral phenomena have been effectively simulated using PDP-CNN models, it is time to ask how these properties emerge. This line of inquiry is needed to generate full scientific explanations of these psychological and behavioral phenomena.