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Related Concept Videos

The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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.
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...
Excitatory and Inhibitory Effects of Neurotransmitters01:29

Excitatory and Inhibitory Effects of Neurotransmitters

When an action potential reaches the presynaptic axon terminal, it releases neurotransmitters from the neuron into the synaptic cleft at a chemical synapse. The released neurotransmitter can be excitatory or inhibitory. The critical criteria commonly used to determine whether a molecule is a neurotransmitter at a chemical synapse are the molecule's presence in the presynaptic neuron. Second, its release is in response to strong presynaptic depolarization. And lastly, the presence of specific...
Neural Circuits01:25

Neural Circuits

Neural circuits and neuronal pools are two of the main structures found in the nervous system. Neural circuits are networks of neurons that work together to carry out a specific task or process. They consist of interconnected neurons and glial cells, which provide structural and metabolic support.
Neuronal pools are collections of nerve cells with similar functions and interact through chemical and electrical signals. These pools include both interneurons (the central neural circuit nodes that...
Ligand-Gated Ion Channel Receptor: Gating Mechanism01:30

Ligand-Gated Ion Channel Receptor: Gating Mechanism

Ligand-gated ion channels are transmembrane proteins that play a vital role in intercellular communication and functions of the nervous system. They allow the influx of ions across the membrane once the neurotransmitter binds, allowing the subsequent transmission of electrical excitation across the neurons. Other ligand-gated ion channels, like the γ-aminobutyric acid (GABA) receptor, permit anions like chloride into the cells on the binding of the GABA molecule. Their entry into the cell...
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.
Hebbian LTP
LTP can occur when presynaptic neurons...

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Related Experiment Video

Updated: Jun 11, 2026

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
05:01

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

Published on: September 20, 2024

Compensation for variable intrinsic neuronal excitability by circuit-synaptic interactions.

Rachel Grashow1, Ted Brookings, Eve Marder

  • 1Volen Center and Biology Department, Brandeis University, Waltham, Massachusetts 02454-9110, USA.

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|July 9, 2010
PubMed
Summary

Neurons can achieve similar circuit activity despite variations in their intrinsic properties. By adjusting synaptic and intrinsic conductances, researchers demonstrated functional equivalence in neural networks, confirming previous modeling studies.

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Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
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Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

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Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
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Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

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Related Experiment Videos

Last Updated: Jun 11, 2026

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus
05:01

Inducing Long-Term Plasticity of Intrinsic Neuronal Excitability in Neurons of the Dorsal Lateral Geniculate Nucleus

Published on: September 20, 2024

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo
10:19

Induction of an Isoelectric Brain State to Investigate the Impact of Endogenous Synaptic Activity on Neuronal Excitability In Vivo

Published on: March 31, 2016

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
10:52

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

Published on: April 23, 2019

Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Systems Neuroscience

Background:

  • Neurons exhibit variability in intrinsic properties, yet circuits can maintain stable activity.
  • Theoretical models suggest that neurons tune ion channels and synaptic strengths to achieve target excitation levels.
  • Functional equivalence in neural circuits can arise despite differences in underlying cellular and network components.

Purpose of the Study:

  • To experimentally investigate how synaptic and intrinsic conductances compensate for variability in neuronal intrinsic properties.
  • To determine the extent to which target circuit activity can be achieved in hybrid networks with diverse neuronal characteristics.
  • To validate previous computational findings on neural circuit robustness through dynamic clamp experiments.

Main Methods:

  • Utilized the dynamic clamp technique to create hybrid two-cell circuits.
  • Coupled four types of stomatogastric neurons (Cancer borealis) to a model Morris-Lecar neuron via reciprocal inhibition.
  • Systematically varied inhibitory synaptic conductance and introduced artificial h-conductance to create 49 unique circuit configurations for each biological neuron.
  • Measured six key intrinsic properties of the biological neurons.

Main Results:

  • Significant twofold to sevenfold variability in intrinsic properties was observed across neuron types.
  • Despite intrinsic variability, hybrid networks exhibited similar circuit performance at specific values of synaptic and h-conductances.
  • The study experimentally confirmed that tuning conductances can lead to consistent circuit outputs from intrinsically diverse neurons.

Conclusions:

  • Synaptic and intrinsic conductances play a crucial role in achieving functional equivalence in neural circuits.
  • Neuronal tuning mechanisms allow for robust circuit function despite inherent biological variability.
  • This research provides experimental evidence supporting the concept of adaptive homeostasis in neural systems.