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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...
The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

A postsynaptic neuron usually receives numerous impulses from several other presynaptic neurons. The axon hillock of the postsynaptic neuron integrates all these signals and determines the likelihood of firing an action potential.
Sometimes a single EPSP is strong enough to induce an action potential in the postsynaptic neuron. However, multiple presynaptic inputs must often create EPSPs around the same time for the postsynaptic neuron to be sufficiently depolarized to fire an action potential.
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...
Normal Distribution01:11

Normal Distribution

The normal, a continuous distribution, is the most important of all the distributions. Its graph is a bell-shaped symmetrical curve, which is observed in almost all disciplines. Some of these include psychology, business, economics, the sciences, nursing, and, of course, mathematics. Some instructors may use the normal distribution to help determine students’ grades. Most IQ scores are normally distributed. Often real-estate prices fit a normal distribution. The normal distribution is extremely...
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...

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Related Experiment Video

Updated: May 27, 2026

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

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

Published on: March 2, 2015

Normalization as a canonical neural computation.

Matteo Carandini1, David J Heeger

  • 1UCL Institute of Ophtalmology, University College London, 11-43 Bath Street, London EC1V 9EL, UK. m.carandini@ucl. ac.uk

Nature Reviews. Neuroscience
|November 24, 2011
PubMed
Summary
This summary is machine-generated.

The brain uses a core calculation called normalization, where neuron activity is adjusted by a shared factor. This fundamental neural computation appears across many brain areas and species.

Related Experiment Videos

Last Updated: May 27, 2026

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

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

Published on: March 2, 2015

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Sensory Processing

Background:

  • The brain utilizes recurring neural computations across different regions and senses.
  • Normalization, a process dividing neural responses by a common factor, is a key candidate for such a computation.
  • Initially explained visual cortex responses, normalization is now implicated in diverse neural functions.

Purpose of the Study:

  • To explore normalization as a canonical neural computation.
  • To highlight its widespread presence and functional significance in the brain.

Main Methods:

  • Review of existing evidence on neural computations.
  • Analysis of normalization's role in various sensory modalities and brain functions.
  • Comparative study across species to establish universality.

Main Results:

  • Normalization is a prevalent neural computation, observed across diverse brain regions and sensory systems.
  • It plays a role in functions including sensory representation, attention, value encoding, and multisensory integration.
  • Evidence suggests normalization is conserved across species, from invertebrates to mammals.

Conclusions:

  • Normalization serves as a fundamental, canonical neural computation.
  • Its widespread application underscores its importance in general neural processing.
  • The study supports normalization as a unifying principle in understanding brain function.