Results 271 to 280 of about 124,788 (331)
SimForce:Force and Surface Electromyography from Full Body Video with Graph Neural Nets
Dasgupta, Esha +3 more
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Quarterly Reviews of Biophysics, 1988
The brain is one of the most highly organized structures in the known universe. It is a biological computer which has evolved over a billion years to program, monitor and control all bodily functions. It is also the organ of knowing, feeling and thinking. To understand how the brain works is perhaps the most difficult of all scientific problems.
J D, Cowan, D H, Sharp
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The brain is one of the most highly organized structures in the known universe. It is a biological computer which has evolved over a billion years to program, monitor and control all bodily functions. It is also the organ of knowing, feeling and thinking. To understand how the brain works is perhaps the most difficult of all scientific problems.
J D, Cowan, D H, Sharp
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International Journal of Theoretical Physics, 1998
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zak, Michail, Williams, Colin P.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zak, Michail, Williams, Colin P.
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Neural Networks, 2001
Formulations of artificial neural networks are directly related to assumptions about neural coding in the brain. Traditional connectionist networks assume channel-based rate coding, while time-delay networks convert temporally-coded inputs into rate-coded outputs.
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Formulations of artificial neural networks are directly related to assumptions about neural coding in the brain. Traditional connectionist networks assume channel-based rate coding, while time-delay networks convert temporally-coded inputs into rate-coded outputs.
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1998
Abstract On first thought, modeling networks of neurons would seem to be an enterprise having little in common with modeling a checkersplayer. My own first reaction to Art Samuel’s checkersplayer, as I mentioned earlier, was to think the ideas fascinating but far removed from the study of neural networks. The previous chapter established
James J. Buckley, Thomas Feuring
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Abstract On first thought, modeling networks of neurons would seem to be an enterprise having little in common with modeling a checkersplayer. My own first reaction to Art Samuel’s checkersplayer, as I mentioned earlier, was to think the ideas fascinating but far removed from the study of neural networks. The previous chapter established
James J. Buckley, Thomas Feuring
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Biosystems, 1967
Abstract A mathematical apparatus is developed that deals with networks of elements which are connected to each other by well defined connection rules and which perform well defined operations on their inputs. The output of these elements either is transmitted to other elements in the network or — should they be terminal elements — represents the ...
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Abstract A mathematical apparatus is developed that deals with networks of elements which are connected to each other by well defined connection rules and which perform well defined operations on their inputs. The output of these elements either is transmitted to other elements in the network or — should they be terminal elements — represents the ...
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IEEE Transactions on Neural Networks, 1991
Application of neural nets to invariant pattern recognition is considered. The authors study various techniques for obtaining this invariance with neural net classifiers and identify the invariant-feature technique as the most suitable for current neural classifiers.
E, Barnard, D, Casasent
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Application of neural nets to invariant pattern recognition is considered. The authors study various techniques for obtaining this invariance with neural net classifiers and identify the invariant-feature technique as the most suitable for current neural classifiers.
E, Barnard, D, Casasent
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American Political Science Review, 2004
Beck, King, and Zeng (2000) offer both a sweeping critique of the quantitative security studies field and a bold new direction for future research. Despite important strengths in their work, we take issue with three aspects of their research: (1) the substance of the logit model they compare to their neural network, (2) the standards they use for ...
SCOTT DE MARCHI +2 more
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Beck, King, and Zeng (2000) offer both a sweeping critique of the quantitative security studies field and a bold new direction for future research. Despite important strengths in their work, we take issue with three aspects of their research: (1) the substance of the logit model they compare to their neural network, (2) the standards they use for ...
SCOTT DE MARCHI +2 more
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Neural Networks, 1995
Abstract We consider neural units whose response functions are Lorentzians rather than the usual sigmoids or steps. This consideration is justified by the fact that neurons can be paired and that a suitable difference of the sigmoids of the paired neurons can create a window response function. Lorentzians are special cases of such windows and we take
B.G. Giraud +3 more
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Abstract We consider neural units whose response functions are Lorentzians rather than the usual sigmoids or steps. This consideration is justified by the fact that neurons can be paired and that a suitable difference of the sigmoids of the paired neurons can create a window response function. Lorentzians are special cases of such windows and we take
B.G. Giraud +3 more
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