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Maximizing the Directional Derivative01:25

Maximizing the Directional Derivative

The directional derivative is a central concept in multivariable calculus that describes how a function changes at a given point when moving in a specified direction. This direction is represented by a unit vector, ensuring that only the orientation influences the rate of change. By varying the direction, different rates of change can be observed, demonstrating that the directional derivative depends strongly on the chosen direction.The directional derivative is computed using the gradient...
Polar Coordinates: Problem Solving01:27

Polar Coordinates: Problem Solving

Directional radiation patterns are central to antenna analysis, as they illustrate how signal strength varies with direction. These patterns are often modeled using polar plots, where the radial distance from the origin represents signal intensity at a given angle. A commonly used idealized form is the four-lobed rose curve, which captures the concept of directional beams in a simplified mathematical form.The four-lobed rose curve, described by r = cos⁡(2θ), features four symmetric lobes, each...
Spherical Coordinates01:23

Spherical Coordinates

Spherical coordinate systems are preferred over Cartesian, polar, or cylindrical coordinates for systems with spherical symmetry. For example, to describe the surface of a sphere, Cartesian coordinates require all three coordinates. On the other hand, the spherical coordinate system requires only one parameter: the sphere's radius. As a result, the complicated mathematical calculations become simple. Spherical coordinates are used in science and engineering applications like electric and...
Polar and Cylindrical Coordinates01:22

Polar and Cylindrical Coordinates

The Cartesian coordinate system is a very convenient tool to use when describing the displacements and velocities of objects and the forces acting on them. However, it becomes cumbersome when we need to describe the rotation of objects. So, when describing rotation, the polar coordinate system is generally used.
The Midpoint Formula01:24

The Midpoint Formula

In coordinate geometry, determining the central point between two locations is common. This central point, or midpoint, lies exactly halfway along the line segment connecting two points in a two-dimensional space. It has applications in mathematics, physics, engineering, and various planning disciplines.Given two points labeled as A (x1, y1) and B (x2, y2) on a coordinate plane, a straight line segment can be plotted between them. The midpoint, labeled point M, divides this segment into two...
Local Maximum and Minimum Values01:31

Local Maximum and Minimum Values

In multivariable calculus, a function of two variables can exhibit local maximum or minimum values at certain points on its surface. A local maximum occurs when the function's value at a point is greater than at all nearby points, while a local minimum occurs when the function’s value is less than at all nearby locations. These points are referred to as local extrema and are of central importance in optimization problems.Local extrema are found at critical points, where the surface becomes...

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Updated: Jun 16, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

軸を指すことで最適のローカライゼーション.

Yossi Yovel1, Ben Falk, Cynthia F Moss

  • 1Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.

Science (New York, N.Y.)
|February 6, 2010
PubMed
まとめ
この要約は機械生成です。

エコーロケーションするコウモリは,ソナービームをターゲットに中心に位置付けません. 代わりに,ビームのエッジを狙って,空間的な追跡と,感覚的知覚におけるローカライゼーションの精度を最適化します.

さらに関連する動画

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

関連する実験動画

Last Updated: Jun 16, 2026

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station
05:57

Characterization of SiN Integrated Optical Phased Arrays on a Wafer-Scale Test Station

Published on: April 1, 2020

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment
09:30

Localizing Function-specific Targets for Transcranial Magnetic Stimulation in the Absence of Navigation Equipment

Published on: May 23, 2025

科学分野:

  • 感覚神経科学は,感覚神経科学である.
  • バイオアコースティクス バイオアコースティクス
  • 動物の行動 動物の行動

背景:

  • 刺激の局所化と追跡のための最適な戦略は,感覚の様式全体において極めて重要です.
  • 以前の仮定では,感覚場内の刺激を中心にすることが最適であると示唆されていました.

研究 の 目的:

  • センタリング刺激が局所化と追跡に最適かどうかを実験的および計算的に調査する.
  • エコーロケーションを行うエジプトの果実コウモリが標的を特定するための戦略を決定する.

主な方法:

  • エジプトの果実コウモリを訓練し,完全な暗闇でエコーロケーションを使用して標的を特定する.
  • コウモリのソナークリックの指向的な狙いを測定する.
  • 最適性を評価するために情報理論的計算を用いる.

主要な成果:

  • 蝙蝠は,ソナービームをターゲットに集中させず,軸外を狙った.
  • ソナービームの最大傾き (エッジ) がターゲットに向けられました.
  • この"エッジ"戦略は,検出コストがかかっても,現地化に最適であることが判明しました.

結論:

  • 刺激を中心にすることは,空間的な局所化と追跡のための最適な戦略ではありません.
  • 刺激検出と局所化の精度の間に根本的なトレードオフが存在します.
  • このトレードオフは,最大信号傾きを使用して最適化され,聴覚,嗅覚,視覚に適用される可能性があります.