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Related Concept Videos

Sequence Networks of Rotating Machines01:24

Sequence Networks of Rotating Machines

A Y-connected synchronous generator, grounded through a neutral impedance, is designed to produce balanced internal phase voltages with only positive-sequence components. The generator's sequence networks include a source voltage that is exclusively in the positive-sequence network. The sequence components of line-to-ground voltages at the generator terminals illustrate this configuration.
Zero-sequence current induces a voltage drop across the generator's neutral impedance and other...
Signal Sequences and Sorting Receptors01:41

Signal Sequences and Sorting Receptors

Signal sequences are short amino acid sequences that guide newly synthesized proteins to their proper location within the cell. Classical signal sequences are fifteen to sixty amino acids long and present at the N-terminus of a polypeptide chain. Each signal sequence has a conserved segment of basic residues towards their N terminus, a hydrophobic core, and a C-terminus rich in polar residues. The C-terminus also contains a signal cleavage site and features a -3 -1 sequence motif. The -3-1...
Per-Unit Sequence Models01:26

Per-Unit Sequence Models

An ideal Y-Y transformer, grounded through neutral impedances, displays per-unit sequence networks akin to those of a single-phase ideal transformer when subjected to balanced positive- or negative-sequence currents. These currents do not produce neutral currents, and their associated voltage drops.
Zero-sequence currents, which are identical in magnitude and phase, generate a neutral current, resulting in voltage drops across the neutral impedance and the low-voltage winding. If the...
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
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Introduction to Sequences01:26

Introduction to Sequences

The ancient Greek philosopher Zeno of Elea proposed a series of paradoxes to challenge prevailing notions of motion and continuity. One such paradox imagines a man walking toward a door but only ever covering half the remaining distance with each step. This sequence of movements—first one-half, then one-quarter, then one-eighth of the total distance, and so on—forms a mathematical concept known as a geometric sequence. Each term is half of the previous one and can be written...
Sequences01:29

Sequences

Sequences are fundamental mathematical objects consisting of ordered lists of numbers that follow a specific rule or pattern. Sequences are critical in various mathematical concepts, including calculus, series, and number theory. They can model real-world phenomena such as population growth, financial investments, and physical processes like the diminishing height of a bouncing ball.Each number in a sequence is referred to as a term. Typically, the terms are denoted as a1, a2, a3,…, where the...

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Related Experiment Video

Updated: Jun 23, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

The neural representation of extensively trained ordered sequences.

Filip Van Opstal1, Wim Fias, Philippe Peigneux

  • 1Department of Experimental Psychology, Ghent University, H. Dunantlaan 2, B-9000 Ghent, Belgium. Filip.VanOpstal@UGent.be

Neuroimage
|April 21, 2009
PubMed
Summary

The intraparietal sulcus (IPS) is not specifically involved in all ordinal sequence processing. Extensive training on arbitrary sequences activated the left inferior frontal gyrus (left IFG), not the IPS.

Related Experiment Videos

Last Updated: Jun 23, 2026

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data
09:34

A Virtual Machine Platform for Non-Computer Professionals for Using Deep Learning to Classify Biological Sequences of Metagenomic Data

Published on: September 25, 2021

Area of Science:

  • Neuroscience
  • Cognitive Psychology

Background:

  • The intraparietal sulcus (IPS) is widely accepted to play a role in numerical cognition.
  • A debate exists regarding the specificity of IPS involvement in representing numbers versus more general ordinal sequences.

Purpose of the Study:

  • To investigate whether the intraparietal sulcus (IPS) is activated by extensive training on an arbitrary ordered sequence.
  • To clarify the specificity of the IPS's role in processing ordinal information.

Main Methods:

  • Participants underwent extensive training on an arbitrary ordered sequence.
  • Brain activation was monitored using neuroimaging techniques (likely fMRI, though not explicitly stated).
  • Activation patterns were analyzed to determine the involvement of the IPS and other brain regions.

Main Results:

  • Initial learning of ordered sequences involved the hippocampal-angular gyrus.
  • With extensive training, activation extended to the left inferior frontal gyrus (left IFG).
  • Crucially, the intraparietal sulcus (IPS) did not show increased activation related to the ordinal sequence training.

Conclusions:

  • The findings suggest that the left inferior frontal gyrus (left IFG) can be involved in processing ordinal information.
  • These results challenge the notion of a dedicated IPS area for all ordinal sequence representations.
  • The study proposes that the neural locus for representing ordinal information may depend on stimulus characteristics rather than ordinality alone.