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Related Concept Videos

Long-term Potentiation01:35

Long-term Potentiation

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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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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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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...
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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.
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Neurotransmitters are integral to the brain's communication system, enabling neurons to transmit signals across synapses. This chemical exchange underpins various cognitive functions, including memory processes. The role of neurotransmitters in memory is multifaceted, influencing the encoding, consolidation, and retrieval of memories through their action on different neural circuits.
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Updated: May 27, 2025

Investigation of Synaptic Tagging/Capture and Cross-capture using Acute Hippocampal Slices from Rodents
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Eligibility traces as a synaptic substrate for learning.

Harel Z Shouval1, Alfredo Kirkwood2

  • 1Department of Neurobiology and Anatomy, University of Texas Medical School at Houston, Houston, TX, USA; Department of Electrical and Computer Engineering, Rice University, Houston, TX, USA.

Current Opinion in Neurobiology
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Summary
This summary is machine-generated.

Synaptic eligibility traces enable animals to link actions with delayed rewards for survival. These traces, crucial for learning, support both strengthening and weakening of neural connections, preventing synapse saturation.

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Area of Science:

  • Neuroscience
  • Synaptic Plasticity
  • Learning and Memory

Background:

  • Animals learn associations between stimuli/behaviors and delayed rewards, vital for survival.
  • Synaptic eligibility traces are proposed mechanisms bridging the gap between actions and delayed rewards.
  • These traces are slowly decaying tags that can induce synaptic plasticity upon reward.
  • Recent experiments confirm eligibility traces in various neural systems, modulated by neuromodulators or plateau potentials.

Purpose of the Study:

  • To explore the existence and mechanisms of synaptic eligibility traces.
  • To discuss the implications of both potentiation and depression in synaptic plasticity.
  • To highlight the role of these traces in establishing synaptic stopping rules and maintaining representational capacity.

Main Methods:

  • Review of recent experimental findings on synaptic eligibility traces.
  • Analysis of evidence for both potentiation and depression dependent on eligibility traces.
  • Theoretical discussion on the necessity of opposing synaptic forces.

Main Results:

  • Experimental evidence confirms synaptic eligibility traces in diverse neural systems.
  • Both potentiation and depression of synaptic efficacy are shown to be eligibility trace-dependent.
  • The interplay of potentiation and depression is crucial for a synaptic stopping rule.

Conclusions:

  • Synaptic eligibility traces are fundamental for learning from delayed rewards.
  • The dual nature of potentiation and depression provides a synaptic stopping rule, preventing saturation.
  • Understanding these traces is key to comprehending neural computation and representational stability.