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Direct Motor Pathways01:11

Direct Motor Pathways

The direct motor pathways, also known as the pyramidal tracts, are a group of neural pathways that originate in the brain and descend through the spinal cord. They control the voluntary movement of the body. There are two major direct motor pathways: the corticospinal and the corticobulbar tracts.
The corticospinal tract is responsible for the voluntary movement of the limbs and trunk. It originates in the cerebral cortex of the brain and descends through the cerebrum's internal capsule and the...
Indirect Motor Pathways01:22

Indirect Motor Pathways

The indirect motor or extrapyramidal pathways originate in the brainstem, the lower portion of the brain that connects it to the spinal cord. They consist of several distinct tracts, each with specialized functions. The four main tracts of the indirect motor pathways are the vestibulospinal tract, the reticulospinal tract, the tectospinal tract, and the rubrospinal tract.
The vestibulospinal tract originates in the vestibular nuclei of the brainstem. The vestibular system detects changes in...
Passive Diffusion: Overview and Kinetics01:17

Passive Diffusion: Overview and Kinetics

Passive diffusion is a critical process that allows small lipophilic drugs to cross the cell membrane along a concentration gradient. This mechanism's efficiency depends on four primary factors: the membrane's surface area, the drug's lipid-water partition coefficient, the concentration gradient, and the membrane's thickness.
When administered orally, drugs establish a substantial concentration gradient between the gastrointestinal (GI) lumen and the bloodstream, expediting their diffusion into...
Passive Filters01:27

Passive Filters

Passive filters are utilized to shape the frequency spectrum of signals across a diverse array of applications. These filters, using only passive elements like resistors (R), inductors (L), and capacitors (C), are capable of selectively allowing or blocking certain frequency ranges without the need for external power sources.
Low-Pass Filters
Low-pass filters are designed to transmit signals with frequencies lower than the cutoff frequency, ωc, and attenuate those above it. The cutoff frequency...
Drug Absorption Mechanism: Passive Membrane Transport01:23

Drug Absorption Mechanism: Passive Membrane Transport

Passive transport is a method of drug absorption where small, lipid-soluble drugs can move across the cell membrane. This movement happens along the concentration gradient, which is a natural flow from higher to lower concentration areas. The speed at which the drug moves is directly related to its lipid–water partition coefficient. This means that the more a drug dissolves in lipids, the faster it diffuses or spreads throughout the body. It is important to note that most drugs are either weak...
Directionality of Nuclear Transport01:42

Directionality of Nuclear Transport

Ras-related nuclear protein or Ran is a small G protein that cycles between its GTP and GDP bound states. Ran specific regulators, a Ran GTPase Activating Protein or RanGAP present in the cytosol and a Ran guanine nucleotide exchange factor or RanGEF present inside the nucleus regulate GTP/GDP exchange. A high concentration of GTP inside the cells, in addition to this asymmetric distribution of  Ran-specific regulators, leads to a higher RanGTP concentration inside the nucleus. This...

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Related Experiment Video

Updated: May 29, 2026

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise
06:17

Assessing Human Spatial Navigation in a Virtual Space and its Sensitivity to Exercise

Published on: January 26, 2024

Direct passive navigation.

S Negahdaripour1, B K Horn

  • 1Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA 02139.

IEEE Transactions on Pattern Analysis and Machine Intelligence
|August 27, 2011
PubMed
Summary
This summary is machine-generated.

This study presents a novel method to determine observer motion relative to planar surfaces using image brightness derivatives, avoiding optical flow computation. The technique efficiently recovers motion and surface parameters from image data.

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Area of Science:

  • Computer Vision
  • Robotics
  • Geometric Methods

Background:

  • Estimating observer motion is crucial for autonomous systems.
  • Traditional methods often rely on computing optical flow, which can be computationally intensive.
  • Recovering motion from image data requires robust algorithms that handle noise and ambiguity.

Purpose of the Study:

  • To develop a method for recovering observer motion relative to a planar surface.
  • To avoid using optical flow as an intermediate step in motion estimation.
  • To provide efficient and accurate computation of motion and surface parameters.

Main Methods:

  • Utilizing spatial and temporal image brightness derivatives (at least eight points).
  • Developing two iterative schemes to solve nonlinear equations derived from a least-squares formulation.
  • Employing eigenvalue decomposition of a matrix for closed-form solution of motion and plane orientation.

Main Results:

  • Successfully recovered motion and planar surface parameters without computing optical flow.
  • Developed iterative schemes that efficiently compute necessary quantities from accumulated image moments.
  • Demonstrated a closed-form solution yielding at most two planar solutions.

Conclusions:

  • The proposed method offers an efficient alternative for motion recovery from image brightness derivatives.
  • The approach simplifies computation by avoiding intermediate optical flow estimation.
  • The closed-form solution provides a direct and robust way to determine motion and surface orientation.