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Removing Epistemological Bias From Empirical Observation of Neural Networks |
Waldron, Ronan
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TCD-CS-93-18 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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Keyword(s):
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Computer Science |
Publication Date:
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1994 |
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Type:
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Report |
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Peer-Reviewed:
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Unknown |
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Language(s):
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English |
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Institution:
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Trinity College Dublin |
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Citation(s):
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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 |
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Publisher(s):
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Trinity College Dublin, Department of Computer Science |
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File Format(s):
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application/pdf |
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First Indexed:
2014-05-13 05:32:28 Last Updated:
2015-04-10 05:14:22 |
