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Related Concept Videos

Neuron Structure01:30

Neuron Structure

Neurons are the main type of cell in the nervous system that generate and transmit electrochemical signals. They primarily communicate with each other using neurotransmitters at specific junctions called synapses. Neurons come in many shapes that often relate to their function, but most share three main structures: an axon and dendrites that extend out from a cell body.
Structure and Function of Neurons
The neuronal cell body—the soma— houses the nucleus and organelles vital to cellular...
Neuron Structure01:31

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Neuroplasticity reflects the brain's remarkable capacity to adapt and evolve, responding dynamically to learning, experiences, or injury by reorganizing its neural circuitry. This reorganization involves creating new neural connections and refining old ones through a series of biological processes that contribute to the brain's lifelong development and adaptability.
Neuronal Communication01:28

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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...
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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...
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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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Related Experiment Video

Updated: May 8, 2026

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits
10:32

Design, Surface Treatment, Cellular Plating, and Culturing of Modular Neuronal Networks Composed of Functionally Inter-connected Circuits

Published on: April 15, 2015

Shape, connectedness and dynamics in neuronal networks.

Cesar Henrique Comin1, Luciano da Fontoura Costa

  • 1Instituto de Física de São Carlos, Universidade de São Paulo, São Carlos, SP, Caixa Postal 369, 13560-970, Brazil.

Journal of Neuroscience Methods
|August 20, 2013
PubMed
Summary
This summary is machine-generated.

Neuronal morphology significantly impacts nervous system function, from development to behavior. This review explores shape characterization, synthesis, network connectivity, and how neuron shape influences network dynamics.

Keywords:
Complex networkNeural connectivityNeural networkNeural network creationNeuron shape

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Area of Science:

  • Neuroscience
  • Computational Biology
  • Systems Biology

Background:

  • Neuronal morphology is intrinsically linked to nervous system functions like connectedness, health, development, evolution, dynamics, and behavior.
  • The shape-function paradigm provides a framework for understanding these interplays.
  • This review focuses on key issues and research from the authors' group.

Purpose of the Study:

  • To provide an introductory review of the role of neuronal morphology in the nervous system.
  • To highlight specific research areas including shape characterization, neuronal synthesis, network connectivity, and dynamics.
  • To demonstrate the broader applicability of the presented concepts and methods.

Main Methods:

  • Characterization of neuronal shape using quantitative descriptors.
  • Stochastic synthesis of individual neurons and neuronal systems.
  • Analysis of neuronal network connectivity employing complex network concepts.
  • Investigation of the influence of neuronal shape on network dynamics.

Main Results:

  • Established methods for characterizing neuronal shape.
  • Developed techniques for stochastic neuron and system synthesis.
  • Applied complex network theory to analyze neuronal connectivity.
  • Demonstrated correlations between neuronal shape and network dynamics.

Conclusions:

  • Neuronal morphology is a critical determinant of nervous system function and behavior.
  • The presented methodologies offer robust tools for studying neuronal systems.
  • The concepts are transferable to other complex multi-object systems, including protein interactions and polymer science.