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Related Concept Videos

Sleep-Wake Cycles01:24

Sleep-Wake Cycles

Sleep is an essential physiological process vital to maintaining overall well-being. The reticular activating system (RAS), a network of neurons in the brainstem, regulates wakefulness and sleep. While it may seem passive, sleep consists of distinct cycles, each with its unique characteristics and functions. Two key sleep phases are non-rapid eye movement (NREM) and  rapid eye movement (REM).
NREM Sleep
NREM sleep comprises four progressive stages that seamlessly merge:
Circadian Rhythms and Gene Regulation02:19

Circadian Rhythms and Gene Regulation

The biological clock is involved in many aspects of regulating complex physiology in all animals. It was in 1935 when German zoologists, Hans Kalmus and Erwin Bünning, discovered the existence of circadian rhythm in Drosophila melanogaster. However, the internal molecular mechanisms behind the circadian clock remained a mystery until 1984, when Jeffrey C. Hall, Michael Rosbash, and Michael W. Young discovered the expression of the Per gene oscillating over a 24-hour cycle. In subsequent years,...
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Chronopharmacokinetics: Circadian Rhythms and Influence on Drug Response

Circadian rhythms are cyclic changes that are crucial in plasma drug concentrations. Various standard circadian parameters, including core body temperature, heart rate, and other cardiovascular factors, directly impact disease states and the therapeutic response to drug therapy.
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Biological Clocks and Seasonal Responses02:45

Biological Clocks and Seasonal Responses

The circadian—or biological—clock is an intrinsic, timekeeping, molecular mechanism that allows plants to coordinate physiological activities over 24-hour cycles called circadian rhythms. Photoperiodism is a collective term for the biological responses of plants to variations in the relative lengths of dark and light periods. The period of light-exposure is called the photoperiod.

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Related Experiment Video

Updated: Jun 25, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Temporal Interactions between Cortical Rhythms.

Anita K Roopun1, Mark A Kramer, Lucy M Carracedo

  • 1Institute of Neuroscience, Newcastle University Newcastle, UK.

Frontiers in Neuroscience
|February 20, 2009
PubMed
Summary
This summary is machine-generated.

Neocortical neuronal circuits generate distinct network rhythms. A novel mechanism combines two rhythms sequentially to create a new frequency, preserving original periodicities for complex information processing.

Keywords:
EEGbeta rhythmgamma rhythminhibitionneocortex

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Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice
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Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Related Experiment Videos

Last Updated: Jun 25, 2026

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
07:33

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice
07:03

Evaluation of Hemisphere Lateralization with Bilateral Local Field Potential Recording in Secondary Motor Cortex of Mice

Published on: July 31, 2019

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neocortical local neuronal circuits generate distinct network rhythms.
  • Interactions between frequencies involve mechanisms to minimize interference and couple activity.
  • These interactions form a framework for spectral information processing.

Purpose of the Study:

  • To discuss a novel frequency transformation mechanism in the neocortex.
  • To explore how sequential combination of two co-active local circuit rhythms generates a third frequency.
  • To highlight the preservation of intrinsic periodicity in this process.

Main Methods:

  • Analysis of neuronal circuit activity and network rhythms.
  • Investigation of frequency transformation mechanisms.
  • Theoretical modeling of sequential rhythm combination.

Main Results:

  • A frequency transformation mechanism is described where two co-active local circuits sequentially combine.
  • This process generates a third frequency whose period is the concatenation sum of the original two.
  • The intrinsic periodicity of each component local circuit rhythm is preserved.

Conclusions:

  • This sequential combination mechanism offers a robust way to integrate information across multiple spatiotemporal scales.
  • Preservation of original periodicities allows for complex spectral information processing.
  • This finding advances our understanding of neural oscillations and information coding in the neocortex.