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Synaptic Signaling01:12

Synaptic Signaling

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Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
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The Synapse02:47

The Synapse

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Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
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Synaptic Signaling01:09

Synaptic Signaling

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Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...
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The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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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....
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Chemical Synapses01:26

Chemical Synapses

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Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...
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Integration of Synaptic Events01:28

Integration of Synaptic Events

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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...
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Updated: May 1, 2026

Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond
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Real-time Electrophysiology: Using Closed-loop Protocols to Probe Neuronal Dynamics and Beyond

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La computación sináptica es una computación sináptica.

L F Abbott1, Wade G Regehr

  • 1Volen Center and Department of Biology, Brandeis University, Waltham, Massachusetts 02454-9110, USA. abbott@brandeis.edu

Nature
|October 16, 2004
PubMed
Resumen
Este resumen es generado por máquina.

Las sinapsis, no solo las neuronas, procesan activamente la información a través de diversas plasticidades. Estos cambios en la transmisión sináptica permiten a las neuronas enviar señales variadas, apoyando los cálculos cerebrales, el aprendizaje y la memoria.

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Área de la Ciencia:

  • La neurociencia es la neurociencia.
  • La neurociencia computacional es la neurociencia computacional.
  • La plasticidad sináptica.

Sus antecedentes:

  • Las neuronas se ven tradicionalmente como las unidades computacionales del cerebro.
  • Las sinapsis se consideraban transmisores pasivos de información.

Objetivo del estudio:

  • Explorar el papel activo de las sinapsis en el procesamiento de la información.
  • Para resaltar la importancia de la plasticidad sináptica en la función neuronal.

Principales métodos:

  • Análisis de diversos mecanismos de plasticidad sináptica.
  • Examen de los cambios sinápticos a corto y largo plazo.

Principales resultados:

  • La plasticidad sináptica revela las sinapsis como procesadores de información activos.
  • La plasticidad a corto plazo apoya las computaciones neuronales.
  • La plasticidad a largo plazo forma la base para el aprendizaje y la memoria.

Conclusiones:

  • Las sinapsis juegan un papel crucial y activo en el procesamiento de la información cerebral.
  • Una sola neurona puede transmitir diversas señales a través de la plasticidad sináptica.
  • Comprender la plasticidad sináptica es clave para comprender la computación neuronal, el aprendizaje y la memoria.