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Related Concept Videos

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.
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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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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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Related Experiment Video

Updated: Jul 2, 2026

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

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Published on: March 2, 2015

Comment on 'What is neural engineering?'.

J R Hetling1

  • 1Department of Bioengineering, 851 S. Morgan Street, Chicago, Illinois 60607-7052, USA.

Journal of Neural Engineering
|August 30, 2008
PubMed
Summary
This summary is machine-generated.

This comment discusses the recently proposed definition of neural engineering. It aims to clarify the scope and interdisciplinary nature of this emerging scientific field.

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Area of Science:

  • Neural Engineering
  • Biomedical Engineering
  • Neuroscience

Background:

  • The field of neural engineering is rapidly evolving.
  • A clear and comprehensive definition is crucial for guiding research and education.

Purpose of the Study:

  • To critically evaluate the recent definition of neural engineering.
  • To propose refinements for a more inclusive and accurate definition.

Main Methods:

  • Literature review of existing definitions.
  • Analysis of the components of the proposed definition.
  • Comparative analysis with related fields.

Main Results:

  • The proposed definition may be too narrow.
  • Key interdisciplinary aspects might be underrepresented.
  • Potential for broader interpretation exists.

Conclusions:

  • A revised definition is needed to encompass the full scope of neural engineering.
  • The definition should emphasize the integration of engineering principles with neuroscience.
  • Future work should focus on establishing a consensus definition.