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Related Concept Videos

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...
Graded Potential01:19

Graded Potential

Graded potentials are localized fluctuations in the cell membrane's electrical charge, commonly found in the dendrites of neurons. The magnitude of these potential changes depends on the strength of the initiating stimulus. In a membrane at its resting potential, a graded potential signifies a voltage shift either above -70 mV or below -70 mV.
Graded potentials fall into two categories: depolarizing and hyperpolarizing. Depolarizing graded potentials typically occur when sodium (Na+) or calcium...
Electrochemical Gradient and Channel Proteins: An Overview01:21

Electrochemical Gradient and Channel Proteins: An Overview

An electrochemical gradient is a fundamental concept in biology and chemistry. It regulates the movement of ions across cell membranes. This movement is influenced by two factors:
The electrical gradient: The electrical gradient across cell membranes refers to the difference in electric charge between the inside and outside of a cell.  This difference drives the movement of ions towards or away from the cells. For instance, if the inside of the cell is more negatively charged relative to the...
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.
Synaptic Signaling01:09

Synaptic Signaling

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...
Synaptic Signaling01:12

Synaptic Signaling

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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Related Experiment Video

Updated: Jun 3, 2026

Electrophysiological and Morphological Characterization of Neuronal Microcircuits in Acute Brain Slices Using Paired Patch-Clamp Recordings
10:24

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Published on: January 10, 2015

Synaptic integration gradients in single cortical pyramidal cell dendrites.

Tiago Branco1, Michael Häusser

  • 1Wolfson Institute for Biomedical Research, University College London, London, UK.

Neuron
|March 9, 2011
PubMed
Summary
This summary is machine-generated.

Cortical pyramidal neurons integrate excitatory inputs differently based on dendritic location. Distal inputs are amplified and more effective than proximal inputs, shifting computational strategy along the dendrite.

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Published on: January 10, 2015

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cellular Neuroscience

Background:

  • Cortical pyramidal neurons receive numerous synaptic inputs across dendrites.
  • The integration of these inputs at different dendritic locations is not fully understood.

Purpose of the Study:

  • To investigate whether synaptic integration varies along single cortical dendrites.
  • To elucidate the computational strategies employed by dendritic branches.

Main Methods:

  • Two-photon glutamate uncaging to activate specific synapses.
  • Compartmental modeling to simulate neuronal integration.

Main Results:

  • A gradient of nonlinear synaptic integration was observed in basal and apical oblique dendrites.
  • Proximal inputs sum linearly, requiring precise temporal coincidence.
  • Distal inputs exhibit amplification and broader temporal summation, becoming more effective than proximal inputs.

Conclusions:

  • Single dendritic branches display nonuniform synaptic integration.
  • The computational strategy shifts from temporal coding to rate coding along the dendrite.