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Related Concept Videos

Long-term Potentiation01:35

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre- and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
Long-term Potentiation01:25

Long-term Potentiation

Long-term potentiation, or LTP, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTP is the process of synaptic strengthening that occurs over time between pre and postsynaptic neuronal connections. The synaptic strengthening of LTP works in opposition to the synaptic weakening of long-term depression (LTD) and together are the main mechanisms that underlie learning and memory.
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Neuroplasticity01:01

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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.
Long-term Depression01:03

Long-term Depression

Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
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Long-term Depression01:05

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Long-term depression, or LTD, is one of the ways by which synaptic plasticity—changes in the strength of chemical synapses—can occur in the brain. LTD is the process of synaptic weakening that occurs over time between pre and postsynaptic neuronal connections. The synaptic weakening of LTD works in opposition to synaptic strengthening by long-term potentiation (LTP) and together are the main mechanisms that underlie learning and memory.
The Synapse02:47

The Synapse

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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3D Modeling of Dendritic Spines with Synaptic Plasticity
07:13

3D Modeling of Dendritic Spines with Synaptic Plasticity

Published on: May 18, 2020

Short-term plasticity optimizes synaptic information transmission.

Ziv Rotman1, Pan-Yue Deng, Vitaly A Klyachko

  • 1Department of Biomedical Engineering, Center for Investigations of Membrane Excitability Disorders, Washington University School of Medicine, St. Louis, Missouri 63110, USA.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|October 14, 2011
PubMed
Summary
This summary is machine-generated.

Short-term synaptic plasticity (STP) enhances neural information processing by optimizing synaptic transmission for specific firing patterns. This study reveals STP maximizes information transfer for bursts in excitatory synapses and single spikes in inhibitory synapses.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Synaptic Plasticity

Background:

  • Short-term synaptic plasticity (STP) is crucial for neural information processing.
  • Recent studies challenged STP's role, suggesting broadband, frequency-independent information transfer.

Purpose of the Study:

  • To analytically quantify time- and rate-dependent synaptic information transfer.
  • To investigate STP's role in information processing using a realistic model of hippocampal synapses.

Main Methods:

  • Developed an analytical approach to quantify synaptic information transfer.
  • Modeled synaptic dynamics in excitatory hippocampal synapses.
  • Analyzed Poisson and naturalistic spike trains, including recordings from hippocampal place cells.

Main Results:

  • STP increases information transfer across a wide range of input rates, matching natural spike frequencies.
  • Low release probability synapses optimize information transfer for high-frequency bursts.
  • High release probability synapses favor single-spike transmission, verified in inhibitory synapses.

Conclusions:

  • STP significantly contributes to synaptic information transfer.
  • STP optimizes information transfer for specific neuronal firing patterns, enhancing neural computation.