TCD-CS-93-18 Waldron R.

Removing Epistemological Bias From Empirical Observation of Neural Models

September 1993.


This paper addresses the application of neural network research to a theory of autonomous systems. Neural networks, while enjoying considerable success in autonomous systems applications, have failed to provide a firm theoretical 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 environmental 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.
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