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関連する概念動画

Velocity and Position by Integral Method01:13

Velocity and Position by Integral Method

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If acceleration as a function of time is known, then velocity and position functions can be derived using integral calculus. For constant acceleration, the integral equations refer to the first and second kinematic equations for velocity and position functions, respectively.
Consider an example to calculate the velocity and position from the acceleration function. A motorboat is traveling at a constant velocity of 5.0 m/s when it starts to decelerate to arrive at the dock. Its acceleration is...
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Velocity and Position by Graphical Method01:34

Velocity and Position by Graphical Method

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Velocity and position can be calculated from the known function of acceleration as a function of time. The total area under the acceleration-time graph and the velocity-time graph gives the change in velocity and position, respectively. In the case of an airplane, its acceleration is tracked using the inertial navigation system. The pilot provides the input of the airplane's initial position and velocity before takeoff. The inertial navigation system then uses the acceleration data to...
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Gaussian Elimination: Problem Solving01:30

Gaussian Elimination: Problem Solving

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Systems of linear equations in several variables are pivotal in modeling complex scenarios involving multiple unknowns and constraints. Such systems are widely used in various fields to represent relationships where several conditions must be simultaneously satisfied. Each variable in the system corresponds to an unknown quantity, while each equation imposes a linear constraint, leading to a structured approach for analyzing and solving real-world problems.A system of three equations with three...
199
Position-effect Variegation02:32

Position-effect Variegation

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In 1928, a German botanist Emil Heitz observed the moss nuclei with a DNA binding dye. He observed that while some chromatin regions decondense and spread out in the interphase nucleus, others do not. He termed them euchromatin and heterochromatin, respectively. He proposed that the heterochromatin regions reflect a functionally inactive state of the genome. It was later confirmed that heterochromatin is transcriptionally repressed, and euchromatin is transcriptionally active chromatin.
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Overview Of Cell Separation And Isolation01:20

Overview Of Cell Separation And Isolation

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Cell separation was first achieved in 1964 by S. H. Seal, who separated large tumor cells from the smaller blood cells using filtration. Two years later, Pohl and Hawk performed experiments on how cells respond differently to a nonuniform electric field based on the cell type. Such observations were the inception of cell separation methods, which allow isolating a single cell type from a heterogeneous sample.
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Problem-Solving: Tuning of a Guitar String01:04

Problem-Solving: Tuning of a Guitar String

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In the case of stringed instruments like the guitar, the elastic property that determines the speed of the sound produced is its linear mass density or the mass per unit length. This is simply called the linear density. If the string's linear density is constant along the string, then the linear density is simply the total mass divided by the total length.
The string's wave speed can be regulated by varying the linear density. Tension is the other property that determines the speed of...
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Updated: Feb 13, 2026

Separation of Spermatogenic Cell Types Using STA-PUT Velocity Sedimentation
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ガウス式プロセスの推論は,グリッドセルにおける位置と速度チューニングの不可分性を明らかにする.

Linnie J Warton, Surya Ganguli, Lisa M Giocomo

    bioRxiv : the preprint server for biology
    |February 12, 2026
    PubMed
    まとめ

    中部腸内皮質 (MEC) のグリッド細胞は,位置と速度について結合的コーディングを使用します. ガウスのプロセスは,これらの空間ナビゲーション細胞の不可分なチューニングを明らかにし,複雑な相互作用を強調しました.

    科学分野:

    • 神経科学は神経科学である.
    • 計算神経科学とは
    • 空間的認知 (Spatial Cognition) とは,空間的認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,空間的な認知 (Spatial Cognition) とは,

    背景:

    • 中間腸内皮質 (MEC) のグリッド細胞は,空間ナビゲーションに不可欠です.
    • これらの細胞は,位置,速度,頭部方向などの複数の変数をコードします.
    • 格子細胞によるこれらの変数の連動的なコーディングは,理解が薄いままです.

    研究 の 目的:

    • MECのグリッドセルにおける位置と速度の結合的なコーディングを調査する.
    • 空間的位置と運動のダイナミクスとの相互作用を分析する.
    • 高次元ニューラルチューニングデータを分析する方法を開発する.

    主な方法:

    • 自由に餌を探しているネズミからの神経記録の分析.
    • 2Dの位置と2Dの速度を横断する4次元 (4D) のチューニング曲線の構築.

    さらに関連する動画

    Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
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    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy
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    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy

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    関連する実験動画

    Last Updated: Feb 13, 2026

    Separation of Spermatogenic Cell Types Using STA-PUT Velocity Sedimentation
    09:48

    Separation of Spermatogenic Cell Types Using STA-PUT Velocity Sedimentation

    Published on: October 9, 2013

    27.1K
    Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
    09:53

    Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows

    Published on: September 13, 2021

    7.7K
    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy
    07:37

    Revealing Dynamic Processes of Materials in Liquids Using Liquid Cell Transmission Electron Microscopy

    Published on: December 20, 2012

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  • 大規模な行動空間での発射率を推定するために,ガウスプロセス (GP) の方法の適用.

    • 主要な成果:

    • いくつかのグリッドセルでは,位置と速度調節において,重要な不可分性を示した.
    • ガウスプロセスのモデルは,2D分析では明らかでない相互作用を明らかにしました.
    • 分離不能性を観察するために必要なデータカバーの値が特定されました.

    結論:

    • グリッド・セルには,位置と速度の複雑で分離できないチューニングがあります.
    • 高次元のニューラルデータを分析するには,ガウスプロセスは有効です.
    • この研究は,空間ナビゲーションのニューラル基盤に関する私たちの理解を前進させます.