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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...
Neural Regulation01:37

Neural Regulation

Digestion begins with a cephalic phase that prepares the digestive system to receive food. When our brain processes visual or olfactory information about food, it triggers impulses in the cranial nerves innervating the salivary glands and stomach to prepare for food.
Neuronal Communication01:28

Neuronal Communication

Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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.
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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...
Neurons: The Axon01:21

Neurons: The Axon

Axons are long, cytoplasmic processes of nerve cells capable of propagating electrical impulses known as action potentials. The cytoplasm or axoplasm of an axon contains neurofibrils, neurotubules, small vesicles, lysosomes, mitochondria, and various enzymes, all encased within the axolemma, the plasma membrane of the axon.
The axon attaches to the cell body at a cone-shaped elevation called the axon hillock. The initial part of the axon, closest to the hillock, is known as the initial segment.

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Related Experiment Video

Updated: May 26, 2026

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

Synchronization in a noise-driven developing neural network.

I-H Lin1, R-K Wu, C-M Chen

  • 1Department of Physics, National Taiwan Normal University, Taipei, Taiwan.

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|December 21, 2011
PubMed
Summary
This summary is machine-generated.

Computer simulations reveal that developing neural networks exhibit small-world properties. Noise-driven activity and learning rules like spike-timing-dependent plasticity (STDP) lead to synchronized firing patterns.

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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice
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Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

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Last Updated: May 26, 2026

Perspectives on Neuroscience
26:41

Perspectives on Neuroscience

Published on: July 31, 2007

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

Area of Science:

  • Computational neuroscience
  • Complex systems analysis

Background:

  • Neural networks exhibit small-world properties.
  • Neuronal dynamics are often noise-driven.
  • Synaptic plasticity influences network structure and function.

Purpose of the Study:

  • Investigate structural and dynamical properties of developing neural networks.
  • Analyze the impact of noise and learning rules on network activity.
  • Characterize synchronized firing patterns and their dependence on network parameters.

Main Methods:

  • Computer simulations using the Hodgkin-Huxley model for neuronal dynamics.
  • Implementation of spike-timing-dependent plasticity (STDP) and inverse STDP learning rules.
  • Analysis of network connectivity, culturing time, and signal transmission delay.

Main Results:

  • Simulated networks display small-world characteristics.
  • Clustered synchronized firing (SF) observed at specific connectivity thresholds.
  • SF frequency shows logarithmic dependence on culturing time and exponential dependence on delay time.
  • Phase diagrams for SF were mapped for different learning rules.

Conclusions:

  • Developing neural networks exhibit emergent small-world structures and synchronized dynamics.
  • Noise and plasticity-driven learning rules significantly shape network activity.
  • The findings align with experimental observations in biological neural networks.