Removing Epistemological Bias From Empirical Observation of Neural Networks
Item Type:Technical Report
Citation:Waldron, Ronan. 'Removing Epistemological Bias From Empirical Observation of Neural Networks'. - Dublin, Trinity College Dublin, Department of Computer Science, TCD-CS-93-18, 1993, pp4
TCD-CS-93-18.pdf (PDF) 165.4Kb
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.
Description:Also in Proceedings of the International Joint Conference on Neural Networks, Nagoya, Japan.
Author: Waldron, Ronan
Publisher:Trinity College Dublin, Department of Computer Science
Type of material:Technical Report
Series/Report no:Computer Science Technical Report
Availability:Full text available