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Related Concept Videos

Scaling01:26

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In designing and analyzing filters, resonant circuits, or circuit analysis at large, working with standard element values like 1 ohm, 1 henry, or 1 farad can be convenient before scaling these values to more realistic figures. This approach is widely utilized by not employing realistic element values in numerous examples and problems; it simplifies mastering circuit analysis through convenient component values. The complexity of calculations is thereby reduced, with the understanding that...
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Cell sizes vary widely among and within organisms. Bacterial cells range between 1-10 micrometers (μm)and are considerably smaller than most eukaryotic cells. The smallest bacteria are 0.1 μm in diameter—about a thousand times smaller than eukaryotic cells, which typically range from 10-100 μm.
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Cell migration is a process by which the cells move from one location to another, playing an essential role in embryological development, repair and regeneration, immune response, and metastasis. Cells migrate in response to chemical or mechanical signals generated by specific organs or tissues. The overall mechanism includes three steps - polarization, protrusion, and release. Polarization involves the formation of a distinct cell front and rear, which determines the direction of movement.
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Updated: Feb 25, 2026

Micropatterning Transmission Electron Microscopy Grids to Direct Cell Positioning within Whole-Cell Cryo-Electron Tomography Workflows
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Size Matters: How Scaling Affects the Interaction between Grid and Border Cells.

Diogo Santos-Pata1, Riccardo Zucca1, Sock C Low1

  • 1SPECS, Universitat Pompeu FabraBarcelona, Spain.

Frontiers in Computational Neuroscience
|August 4, 2017
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Border cells in the medial entorhinal cortex (MEC) may help minimize errors in grid cell activity. Computational models suggest smaller border cell firing fields are optimal for this spatial anchoring role.

Keywords:
border cellserror minimizationgrid cellsnavigationpath integration

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Spatial Cognition

Background:

  • Hippocampal cell types, including head-direction, grid, and place cells, exhibit a dorsal-to-ventral scale increase.
  • Border cells in the medial entorhinal cortex (MEC) are hypothesized to benefit from similar scale modulations, but this remains experimentally unconfirmed.
  • Grid cells in the MEC use velocity signals for environmental mapping, but path integration errors accumulate over time.

Purpose of the Study:

  • To computationally investigate the scaling of border cells in the MEC.
  • To determine the role of border cell scaling in maintaining grid cell firing field regularity.
  • To elucidate the mechanisms of grid-border cell associations concerning their respective scales.

Main Methods:

  • Computational modeling approach.
  • Analysis of border cell scaling in relation to grid cell error minimization.
  • Examination of underlying mechanisms in grid-border cell associations.

Main Results:

  • Results suggest border cells should have smaller firing fields than associated grid cells for optimal error minimization.
  • This finding supports the hypothesis that border cells act as spatial anchors.
  • The study provides insights into the relationship between border cell scale and grid cell function.

Conclusions:

  • Border cell scaling is crucial for maintaining the accuracy of spatial representations in the MEC.
  • The interaction between grid and border cells, particularly their scales, plays a key role in spatial navigation.
  • This research offers a computational framework for understanding spatial coding in the brain.