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Related Concept Videos

Long-term Potentiation01:35

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.
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...
Postsynaptic Potential (PSP)01:32

Postsynaptic Potential (PSP)

Postsynaptic potential (PSP) refers to a change in the electrical potential of a neuron when neurotransmitters released by presynaptic neurons bind to postsynaptic receptors. This potential can either be excitatory, leading to depolarization and ultimately action potential generation, or inhibitory, leading to hyperpolarization and suppression of the postsynaptic neuron.
There are two types of receptors: ionotropic and metabotropic.
The ionotropic receptor is the membrane protein that has an...
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...

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Updated: May 25, 2026

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
05:19

Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments

Published on: November 12, 2019

Engineering the synchronization of neuron action potentials using global time-delayed feedback stimulation.

Craig G Rusin1, Sarah E Johnson, Jaideep Kapur

  • 1Department of Chemical Engineering, University of Virginia, Charlottesville, Virginia 22904, USA. crusin@bcm.edu

Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics
|February 7, 2012
PubMed
Summary
This summary is machine-generated.

We used time-delayed feedback stimulation to control neuron action potential synchronization. This method successfully synchronized and desynchronized neuron networks, showing potential for neural control.

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Last Updated: May 25, 2026

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Biophysics

Background:

  • Neuron action potential synchronization is crucial for neural function.
  • Controlling neural synchronization is a significant challenge in neuroscience.
  • Time-delayed feedback is a potential mechanism for neural control.

Purpose of the Study:

  • To experimentally demonstrate continuous, time-delayed, feedback stimulation for controlling neuron action potential synchronization.
  • To develop and validate phase-based models for predicting synchronization behavior.
  • To explore the application of this method for both inducing and disrupting synchronization in neural networks.

Main Methods:

  • Constructing phase-based models from single cultured hippocampal neurons.
  • Utilizing a dynamic clamp system to apply feedback stimulation.
  • Experimentally verifying model predictions on coupled neuron pairs.
  • Extrapolating stimulation parameters for large neural populations.

Main Results:

  • Successful experimental demonstration of time-delayed feedback for controlling neuron synchronization.
  • Validation of phase-based models in predicting synchronized states.
  • Confirmation of synchronized states in coupled neurons.
  • Identification of parameters to disrupt synchronization in larger networks.

Conclusions:

  • Continuous, time-delayed, feedback stimulation is an effective method for controlling neuron action potential synchronization.
  • Experimentally validated phase-based models can predict and guide neural synchronization control.
  • This approach holds promise for modulating neural network activity.