The neural networks of the human brain act as very e.cient parallel processing computers co! ordinating memory related responses to a multitude of input signals from sensory organs[ Information storage\ update and appropriate retrieval are controlled at the molecular level by the neuronal cytoskeleton which serves as the internal communication network within neurons[ Information ~ow in the highly ordered parallel networks of the _lamentous protein polymers which make up the cytoskeleton may be compared to atmospheric ~ows which exhibit long!range spatiotemporal correlations\ i[e[ long!term memory[ Such long!range spatiotemporal correlations are ubiquitous to real world dynamical systems and is recently identi_ed as signature of self!organized criticality or chaos[ The signatures of self!organized criticality i[e[ long!range temporal correlations have recently been identi_ed in the electrical activity of the brain[ The physics of self!organized criticality or chaos is not yet identi_ed[ A recently developed non!deterministic cell dynamical system model for atmospheric ~ows predicts the observed long!range spatiotemporal correlations as intrinsic to quantum!like mechanics governing ~ow dynamics[ The model visualises large scale circulations to form as the result of spatial integration of enclosed small scale perturbations with intrinsic two!way ordered energy ~ow between the scales[ Such a concept maybe applied for the collection and integration of a multitude of signals at the cytoskeletal level and manifested in activation of neurons in the macroscale[ The cytoskeleton networks inside neurons may be the elementary units of a uni_ed dynamic memory circulation network with intrinsic global response to local stimuli[ A cell dynamical system model for human memory circulation network analogous to atmospheric circulations network is presented in this paper[ The model like the analysis of Koruga et al[ make use of certain connections to the concept of Cantorian!Fractal spacetime[ Γ 0888 Elsevier Science Ltd[ All rights reserved[