Design and fitting of neural network transfer functions (Q762098)
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scientific article; zbMATH DE number 3887497
| Language | Label | Description | Also known as |
|---|---|---|---|
| English | Design and fitting of neural network transfer functions |
scientific article; zbMATH DE number 3887497 |
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Design and fitting of neural network transfer functions (English)
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1985
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An algorithm is presented which (a) allows construction of mathematical models involving arbitrary combinations of linear cascades, parallel pathways, and feedback loops, (b) computes a total transfer function of the system, (c) performs a least-squares optimization of model parameters to best fit the model to experimental data, and (d) provides a measure of goodness-of-fit to the data. The technique has been employed to construct and test models of neural networks which mimic a class of responses observed in the cat vestibular nuclei in response to tilt.
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algorithm
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combinations of linear cascades
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parallel pathways
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feedback loops
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total transfer function
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least-squares optimization
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measure of goodness-of-fit
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models of neural networks
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cat vestibular nuclei
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0.87831485
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0.8682982
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0.86826634
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0.8634361
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0.8621574
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