Results 71 to 80 of about 377,650 (220)

Similarity and Strength of Glomerular Odor Representations Define a Neural Metric of Sniff-Invariant Discrimination Time

open access: yesCell Reports, 2019
Summary: The olfactory environment is first represented by glomerular activity patterns in the olfactory bulb. It remains unclear how these representations intersect with sampling behavior to account for the time required to discriminate odors.
Anindya S. Bhattacharjee   +9 more
doaj   +1 more source

Physical Exercise Activates Intrinsic CSF Outflow Metrics Detected by Spin-Labeling MRI

open access: green, 2022
Mitsue Miyazaki   +6 more
openalex   +1 more source

Integrable Equations and Their Evolutions Based on Intrinsic Geometry of Riemann Spaces

open access: yesInternational Journal of Mathematics and Mathematical Sciences, 2009
The intrinsic geometry of surfaces and Riemannian spaces will be investigated. It is shown that many nonlinear partial differential equations with physical applications and soliton solutions can be determined from the components of the relevant metric ...
Paul Bracken
doaj   +1 more source

Holomorphic maps which preserve intrinsic metrics or measures [PDF]

open access: yesTransactions of the American Mathematical Society, 1990
Suppose that M M is a domain in a taut complex manifold M ′ M’ , and that Ω \Omega is a strictly convex bounded domain in C n {{\mathbf {C}}^n} .
openaire   +1 more source

Permanence of metric fractals

open access: yesElectronic Journal of Differential Equations, 2007
The paper studies energy functionals on quasimetric spaces, defined by quadratic measure-valued Lagrangeans. This general model of medium, known as metric fractals, includes nested fractals and sub-Riemannian manifolds.
Kyril Tintarev
doaj  

Isometries of intrinsic metrics on strictly convex domains

open access: yesMathematische Zeitschrift, 1987
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
PATRIZIO, GIORGIO   +2 more
openaire   +2 more sources

Dimensionality reduction by LPP‐L21

open access: yesIET Computer Vision, 2018
Locality preserving projection (LPP) is one of the most representative linear manifold learning methods and well exploits intrinsic structure of data. However, the performance of LPP remarkably degenerate in the presence of outliers.
Shujian Wang   +3 more
doaj   +1 more source

Band mass anisotropy and the intrinsic metric of fractional quantum Hall systems [PDF]

open access: green, 2012
Bo Yang   +4 more
openalex   +1 more source

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