TCD-CS-93-18 Waldron R.
Removing Epistemological Bias From Empirical Observation of Neural
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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