Results 201 to 210 of about 15,646 (263)
Neutrophil Extracellular Traps in Central Nervous System Diseases. [PDF]
Curr NeuropharmacolZhu J, Zhu H, Hou W, Liu JY.
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Inhibition of neutrophil infiltration and NETs formation ameliorates neuropsychiatric and renal dysfunction in MRL/lpr mice with lupus. [PDF]
PLoS OneDeng Y +15 more
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Multimodal imaging findings of primary renal well-differentiated neuroendocrine tumors (carcinoid): a case report and literature review. [PDF]
Front OncolWei B, Chen Y, Chen Y, Zhang S.
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Expanding the clinical tumor phenotype of the EPAS1-asssociated tumor syndrome.
J Clin Endocrinol MetabCole Y +10 more
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ACM SIGACT News, 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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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.
Etienne Barnard, David P. 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.
Etienne Barnard, David P. Casasent
openaire +2 more sources