Results 41 to 50 of about 72 (69)

Analysis of Neuronal Spike Trains, Deconstructed. [PDF]

Neuron, 2016
Aljadeff J, Lansdell BJ, Fairhall AL, Kleinfeld D.   +3 more
europepmc   +1 more source

Gradient responsive regularization: a deep learning framework for codon frequency based classification of evolutionarily conserved genes. [PDF]

BMC Genom Data
Shahzad A, Mehmood T, Akram S.
europepmc   +1 more source

A structural model for the in vivo human cornea including collagen-swelling interaction. [PDF]

J R Soc Interface, 2015
Cheng X, Petsche SJ, Pinsky PM.
europepmc   +1 more source

The Asymptotic Safety Scenario in Quantum Gravity. [PDF]

Living Rev Relativ, 2006
Niedermaier M, Reuter M.
europepmc   +1 more source

Theoretical models of selection and mutation on quantitative traits. [PDF]

Philos Trans R Soc Lond B Biol Sci, 2005
Johnson T, Barton N.
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Nonlinear modelling of cancer: bridging the gap between cells and tumours. [PDF]

Nonlinearity, 2010
Lowengrub JS, Frieboes HB, Jin F, Chuang YL, Li X, Macklin P, Wise SM, Cristini V.   +7 more
europepmc   +1 more source

Learning the sound inventory of a complex vocal skill via an intrinsic reward. [PDF]

Sci Adv
Toutounji H, Zai AT, Tchernichovski O, Hahnloser RHR, Lipkind D.   +4 more
europepmc   +1 more source

28th Annual Computational Neuroscience Meeting: CNS*2019. [PDF]

BMC Neurosci, 2019
europepmc   +1 more source

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The Schur multiplicative and harmonic convexities of the complete symmetric function

Mathematische Nachrichten, 2011
AbstractThis paper investigates the Schur multiplicative and harmonic convexities of the complete symmetric function \documentclass{article}\usepackage{amssymb}\pagestyle{empty}\begin{document}$F_n(x,r)=\sum _{i_1+i_2+\cdots +i_n=r}x_1^{i_1}x_2^{i_2}\ldots x_n^{i_n}$\end{document} and the function \documentclass{article}\usepackage{amssymb}\pagestyle ...
Chu, Y.-M., Wang, G.-D., Zhang, X.-H.
openaire   +2 more sources