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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.
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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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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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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...
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Ballistic Labeling of Pyramidal Neurons in Brain Slices and in Primary Cell Culture
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Location-dependent excitatory synaptic interactions in pyramidal neuron dendrites.

Bardia F Behabadi1, Alon Polsky, Monika Jadi

  • 1Department of Biomedical Engineering, University of Southern California, Los Angeles, California, United States of America. behabadi@qualcomm.com

Plos Computational Biology
|July 26, 2012
PubMed
Summary
This summary is machine-generated.

Pyramidal neurons (PNs) in the brain use spatial input patterns on dendrites for analog computation. This spatial arrangement of excitatory synapses on basal dendrites creates functional asymmetry, influencing neural responses.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Cellular Neuroscience

Background:

  • Neocortical pyramidal neurons (PNs) integrate thousands of excitatory inputs on basal dendrites.
  • The distinct roles of classical driver and contextual modulator inputs are not fully understood.
  • Biophysical mechanisms of classical-contextual interactions in dendrites are poorly understood.

Purpose of the Study:

  • To investigate the hypothesis that spatial segregation of excitatory inputs on basal dendrites underlies functional asymmetry.
  • To explore the role of local spike thresholds and signal attenuation in mediating these interactions.
  • To understand how spatial input bias contributes to analog computation in PNs.

Main Methods:

  • Compartmental modeling of pyramidal neuron dendrites.
  • Electrophysiological recordings in brain slices.
  • Analysis of dendritic responses to spatially separated excitatory inputs.

Main Results:

  • Basal dendrite responses to spatially separated inputs are strongly asymmetric.
  • Distal excitation lowers local spike threshold for proximal inputs but minimally affects somatic peak responses.
  • Proximal excitation lowers threshold and increases gain for distal inputs, demonstrating analog computation.

Conclusions:

  • PN basal dendrites exhibit significant analog computing capabilities.
  • Pathway-specific spatial distribution of excitatory synapses contributes to nonlinear response modulation.
  • These mechanisms may underlie diverse cortical computations like attention and cross-modal integration.