Related Experiment Video
Updated: Jun 9, 2025
05:19
Using Neuron Spiking Activity to Trigger Closed-Loop Stimuli in Neurophysiological Experiments
Published on: November 12, 2019
7.0K
Spiking activities in small neural networks induced by external forcing
1Radiophysics and Nonlinear Dynamics Department, Institute of Physics, Saratov State University, Astrakhanskaya Str. 83, Saratov 410012, Russia.
Chaos (Woodbury, N.Y.)
|October 23, 2024
Summary
External influences can induce spiking behavior in excitable neurons. This study identifies key parameters for coupling and external stimuli that trigger information processing in neural networks.
Area of Science:
- Computational Neuroscience
- Nonlinear Dynamics
- Systems Biology
Background:
- Neurons in an excitable mode do not exhibit spiking activity, hindering information processing.
- External influences, network coupling, and time delays can induce oscillatory behavior in neural systems.
Purpose of the Study:
- To identify connection and external influence parameters that induce spiking behavior in a small network of FitzHugh-Nagumo oscillators.
- To analyze the dynamics of coupled oscillators under various external influences.
Main Methods:
- Analysis of a small network of locally coupled FitzHugh-Nagumo oscillators.
- Investigation of dynamics under periodic-pulse (Gaussian) and irregular pulsed (Lévy noise, white Gaussian noise) external influences.
Main Results:
- Identified specific parameters (local coupling strength, intensity, and frequency) that induce spiking activity.
- Demonstrated that both periodic and irregular external influences can trigger spiking behavior in the network.
Conclusions:
- Spiking activity, crucial for neural information transfer, can be induced in quiescent neural networks.
- The study provides insights into the parameter regimes governing the transition from excitable to spiking dynamics in small neural networks.
More Related Videos
Related Concept Videos
01:28Integration of Synaptic Events
1.5K
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...
1.5K
01:31Action Potential
7.8K
Neurons communicate by firing action potentials—the electrochemical signal that is propagated along the axon. The signal results in the release of neurotransmitters at axon terminals, thereby transmitting information to the nervous system. An action potential is a specific "all-or-none" change in membrane potential that results in a rapid spike in voltage.
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
Membrane potential in neurons
Neurons typically have a resting membrane potential of about -70 millivolts (mV). When they...
7.8K
01:20Motor Unit Stimulation
1.5K
When the neuron of a motor unit fires an action potential, it triggers a series of events, leading to a twitch contraction in the muscle fibers. The process of excitation-contraction coupling is crucial in relaying the action potential to the muscle fibers.
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
The latent period of contraction marks the onset of excitation-contraction coupling, when the action potential propagates across the sarcolemma, preparing the muscle fibers for contraction. As the fibers enter the contraction phase, the...
1.5K