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Related Concept Videos

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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Long-term Potentiation01:25

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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.
Hebbian LTP
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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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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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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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Related Experiment Video

Updated: Apr 26, 2026

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
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Synaptic dynamics contribute to long-term single neuron response fluctuations.

Sebastian Reinartz1, Istvan Biro2, Asaf Gal3

  • 1Network Biology Research Laboratories, Faculty of Electrical Engineering, Technion - Israel Institute of Technology Haifa, Israel ; Department of Physiology, Faculty of Medicine, Technion - Israel Institute of Technology Haifa, Israel.

Frontiers in Neural Circuits
|July 30, 2014
PubMed
Summary

Single neuron firing rate variability arises from synaptic changes, not just membrane excitability. This study reveals synaptic ensemble dynamics are crucial for long-term memory and complex statistics in neuronal responses.

Keywords:
cortical culturecortical sliceelectrical stimulationmicroelectrode arraypatch clampresponse fluctuationssingle neuronsynaptic dynamics

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cellular Neuroscience

Background:

  • Single neuron firing rate variability exhibits long-memory processes and complex statistics across diverse timescales.
  • Neuronal response variability is influenced by both membrane excitability and synaptic dynamics.

Purpose of the Study:

  • To investigate the contribution of non-stationary synaptic efficacy to single neuron response variability.
  • To differentiate the roles of membrane excitability versus synaptic dynamics in neuronal variability.

Main Methods:

  • Developed and validated a method for controlled, long-term activation of single cortical neurons in vitro.
  • Utilized synaptic and antidromic stimulation to isolate synaptic and excitability contributions.
  • Analyzed neuronal responses across a range of physiological activation frequencies.

Main Results:

  • Synaptic ensemble dynamics significantly contribute to neuronal response variability, long-memory processes, and complex statistics.
  • Synaptic transmission dynamics influence response variability at lower stimulation rates than those affecting excitability.
  • Identified synaptic ensemble as a key determinant of neuronal variability over extended time scales.

Conclusions:

  • Synaptic ensemble efficacy is a critical factor in generating the complex firing rate variability observed in single neurons.
  • Understanding synaptic dynamics is essential for comprehending neuronal information processing and network function.
  • The findings have implications for modeling network-embedded neurons and their dynamic behavior.