Removing Epistemological Bias From Empirical Observation of Neural Models

This paper addresses the application of neural network research to a theory of autonomous systems Neural net works while enjoying considerable success in autonomous systems applications have failed to provide a rm the oretical underpinning to neural systems embedded in their natural ecological context This paper proposes a stochastic formulation of such an embedding A neural system derived from the cell membrane equation is shown to exhibit a stochastic dynamic which tracks an environ mental process The activity of a node is interpreted in the context of this external stochastic process in the light of its interdependence which is now of statistical formulation on the nodes to which it projects