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Related Concept Videos

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...
Integration of Synaptic Events01:28

Integration of Synaptic Events

Synaptic integration mainly includes the summation of graded potentials. Graded potentials, regardless of their type, cause subtle alterations in membrane voltage, resulting in either depolarization or hyperpolarization. These incremental changes, when combined or summed, can propel the neuron toward its threshold. Consider, for example, a membrane experiencing a +15 mV shift, causing it to depolarize from -70 mV to -55 mV. In this scenario, graded potentials govern the membrane's ability to...
Overview of Synapses01:25

Overview of Synapses

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...
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...
Somatosensory, Motor, and Association Cortex01:23

Somatosensory, Motor, and Association Cortex

The somatosensory cortex in the parietal lobes is crucial for interpreting sensory data such as touch, temperature, and proprioception. The somatosensory cortex, situated in the parietal lobes, plays a vital role in interpreting sensory information like touch, temperature, and proprioception—awareness of body position. This specialized brain region features an organized structure wherein neurons at the top primarily process sensations originating from the lower body. In contrast, those at the...
Diencephalon: Thalamus and Information Relay01:27

Diencephalon: Thalamus and Information Relay

The thalamus, often called “the gateway to the cerebral cortex,” is vital in processing and directing sensory and motor signals throughout the brain. Almost all inputs destined for the cerebral cortex, except for olfactory signals, are relayed through the thalamus. The thalamus is  a sophisticated relay station, channeling information from various brain regions to the cerebral cortex, as well as a filter, prioritizing certain signals over others based on current physiological states or needs.

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Multiscale Investigations of Cortical Processing by Integrating Laminar Polytrodes and Optogenetics with Micro Electrocorticography in Rodents
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Optimal information transfer in the cortex through synchronization.

Andres Buehlmann1, Gustavo Deco

  • 1Computational Neuroscience, Universitat Pompeu Fabra, Barcelona, Spain. andres.buhlmann@upf.edu

Plos Computational Biology
|September 24, 2010
PubMed
Summary
This summary is machine-generated.

Neuronal synchronization enhances information transfer speed and efficiency in neural networks. This finding supports the idea that synchronized brain oscillations, particularly in the gamma band, play a key role in modulating neuronal interactions and behavior.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Information Theory

Background:

  • Neuronal synchronization and phase shifts modulate neural interactions.
  • Synchronization may shape network connections.

Purpose of the Study:

  • To test and expand the hypothesis that network connections are shaped by synchronization.
  • To quantify information exchange in a model network based on synchronization.

Main Methods:

  • Utilized a model neural network.
  • Employed transfer entropy, an information-theoretic measure, to quantify exchanged information.
  • Analyzed the impact of phase relations and oscillations on information transfer.

Main Results:

  • Transferred information is dependent on signal phase relations.
  • The amount of exchanged information increases with signal oscillations.
  • Information transfer speed is enhanced by synchronization, indicating more efficient transport.

Conclusions:

  • Synchronization modulates neuronal interactions, supporting existing hypotheses.
  • Gamma band synchronization demonstrates behavioral relevance.
  • Synchronization enhances the efficiency of information transport in neural networks.