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Related Concept Videos

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.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Damped Oscillations01:07

Damped Oscillations

In the real world, oscillations seldom follow true simple harmonic motion. A system that continues its motion indefinitely without losing its amplitude is termed undamped. However, friction of some sort usually dampens the motion, so it fades away or needs more force to continue. For example, a guitar string stops oscillating a few seconds after being plucked. Similarly, one must continually push a swing to keep a child swinging on a playground.
Although friction and other non-conservative...
Oscillations In An LC Circuit01:30

Oscillations In An LC Circuit

An idealized LC circuit of zero resistance can oscillate without any source of emf by shifting the energy stored in the circuit between the electric and magnetic fields. In such an LC circuit, if the capacitor contains a charge q before the switch is closed, then all the energy of the circuit is initially stored in the electric field of the capacitor. This energy is given by
Propagation of Action Potentials01:23

Propagation of Action Potentials

The propagation of an action potential refers to the process by which a nerve impulse, or "action potential," travels along a neuron.
Neurons (nerve cells) have a resting membrane potential, with a slightly negative charge inside compared to outside. This is maintained by ion channels, such as sodium (Na+) and potassium (K+) channels, which control the flow of ions. When a stimulus, like a touch or a signal from another neuron, triggers the neuron, sodium channels open, allowing sodium ions to...
Overview of Synapses01:25

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A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
Forced Oscillations01:06

Forced Oscillations

When an oscillator is forced with a periodic driving force, the motion may seem chaotic. The motions of such oscillators are known as transients. After the transients die out, the oscillator reaches a steady state, where the motion is periodic, and the displacement is determined.

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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

Delays and weakly coupled neuronal oscillators.

Bard Ermentrout1, Tae-Wook Ko

  • 1Department of Mathematics, University of Pittsburgh, Pittsburgh, PA 15260, USA. bard@pitt.edu

Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
|February 17, 2009
PubMed
Summary

Delays in neuronal oscillator systems can disrupt synchronization, leading to traveling waves. This study explores how constant and distributed delays affect coupled neuronal networks, revealing complex dynamics.

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Area of Science:

  • Computational neuroscience
  • Theoretical physics
  • Systems biology

Background:

  • Coupled oscillator systems are fundamental models for understanding neural network dynamics.
  • Time delays are inherent in biological systems, influencing signal transmission and network behavior.

Purpose of the Study:

  • To investigate the impact of constant and distributed time delays on the synchronization and dynamics of coupled neuronal oscillators.
  • To explore the emergence of traveling waves and loss of synchronization in networks with distance-dependent delays.

Main Methods:

  • Application of weakly coupled oscillator theory.
  • Utilizing mean-field theory for analyzing large networks with distributed delays.
  • Examination of phase models with stronger coupling and state-variable delays.

Main Results:

  • Constant delays in simple pairs can alter oscillatory patterns.
  • Distributed delays, particularly distance-dependent ones, can lead to traveling waves and desynchronization.
  • Stronger coupling and state-variable delays introduce richer dynamics, yet retain similarities to weakly coupled systems.

Conclusions:

  • Time delays are critical factors influencing the collective behavior of neuronal networks.
  • The nature of delays (constant vs. distributed) significantly impacts synchronization and network dynamics, potentially leading to complex emergent phenomena like traveling waves.