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Related Concept Videos

Electrical Synapses01:28

Electrical Synapses

Electrical synapses found in all nervous systems play important and unique roles. In these synapses, the presynaptic and postsynaptic membranes are very close together (3.5 nm) and are actually physically connected by channel proteins forming gap junctions.
Gap junctions allow the current to pass directly from one cell to the next. In contrast, in the chemical synapse, the neurotransmitters carry the information through the synaptic cleft from one neuron to the next. They consist of two...
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.
Plasticity00:58

Plasticity

Plasticity is the property where an object loses its elasticity and undergoes irreversible deformation, even after the deformation forces are eliminated. If a material deforms irreversibly without increasing stress or load, then this is called ideal plasticity. For example, when a force is applied to an aluminum rod, it changes its shape, but it does not return to its original shape once the force is removed. Plastic deformation or ductility is thus a permanent deformation or change in the...
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...
Spinal Cord: Information Processing01:10

Spinal Cord: Information Processing

The spinal cord is an integral hub for motor and sensory information that enables the brain to communicate with the peripheral nervous system (PNS). This communication consists of relaying sensory data and transmission of motor commands.
Sensory Information Processing
Sensory information processing begins at the sensory receptors located in the skin and other tissues, which detect somatic sensory stimuli such as touch, temperature, or pain. These receptors function as catalysts, initiating...
Neuroplasticity01:01

Neuroplasticity

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.

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

Published on: April 15, 2015

Plasticity in single neuron and circuit computations.

Alain Destexhe1, Eve Marder

  • 1Integrative and Computational Neuroscience Unit (UNIC), CNRS, Gif-sur Yvette 91198, France. Destexhe@iaf.cnrs-gif.fr

Nature
|October 16, 2004
PubMed
Summary
This summary is machine-generated.

Neural circuit plasticity, driven by synaptic or neuronal changes, impacts brain function. Linking theory and experiments reveals how these plasticity mechanisms shape network dynamics in diverse species.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neural circuits exhibit plasticity, allowing for changes in synaptic strength, connectivity, and neuronal excitability.
  • Understanding neural circuit function and computation is crucial for deciphering the brain's complexity.

Purpose of the Study:

  • To investigate the role of plasticity mechanisms in shaping neural network dynamics.
  • To connect theoretical models with experimental findings on neural plasticity.

Main Methods:

  • Integration of theoretical frameworks and experimental data.
  • Analysis of neural circuit dynamics in both invertebrate and mammalian models.

Main Results:

  • Plasticity mechanisms significantly influence network dynamics.
  • Consequences of plasticity are observable across different neural circuit structures.

Conclusions:

  • Linking theoretical and experimental approaches provides insights into the functional consequences of neural plasticity.
  • Plasticity plays a key role in determining the computational capabilities of brain circuits.