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Action Potential01:14

Action Potential

9.7K
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 receive...
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Neural Circuits01:25

Neural Circuits

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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...
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The Role of Ion Channels in Neuronal Computation01:19

The Role of Ion Channels in Neuronal Computation

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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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Action Potential: Phases of Stimulation01:28

Action Potential: Phases of Stimulation

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The action potential is a complex electrical event that occurs in excitable cells, such as neurons and muscle cells. It consists of several distinct phases, each with specific characteristics.
Resting Phase:
In this phase, the cell's membrane is at its resting potential, typically around -70 millivolts (mV) for neurons. Inside the cell, there is a higher concentration of potassium ions (K+) and a lower concentration of sodium ions (Na+). Voltage-gated sodium channels are closed, and...
20.3K
Neuronal Communication01:28

Neuronal Communication

5.3K
Neurons, the fundamental units of the brain and nervous system, communicate through complex electrochemical signals that underpin all cognitive and bodily functions. This communication is primarily facilitated by a process involving the generation and propagation of an action potential along the axon of the neuron. When the internal electrical charge of a neuron surpasses a certain threshold, an action potential is triggered. This rapid change in voltage travels swiftly along the axon to the...
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Related Experiment Video

Updated: Apr 21, 2026

Interfacing 3D Engineered Neuronal Cultures to Micro-Electrode Arrays: An Innovative In Vitro Experimental Model
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Emergent spike patterns in neuronal populations.

Logan Chariker1, Lai-Sang Young

  • 1Courant Institute of Mathematical Sciences, New York University, New York, NY, USA.

Journal of Computational Neuroscience
|October 19, 2014
PubMed
Summary
This summary is machine-generated.

This study reveals that random neuronal groups spontaneously coordinate spiking activity, a phenomenon called clustering. This emergent behavior occurs across various firing rates in neuronal networks and can be quantified.

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Area of Science:

  • Computational Neuroscience
  • Systems Neuroscience
  • Neural Network Dynamics

Background:

  • Neuronal populations exhibit complex emergent behaviors.
  • Understanding spontaneous coordination in spiking activity is crucial.
  • Quantifying emergent patterns in neural networks remains challenging.

Purpose of the Study:

  • To document and analyze emergent spiking behavior in local neuronal populations.
  • To investigate the phenomenon of neuronal spike clustering.
  • To develop a quantitative method for analyzing spike patterns.

Main Methods:

  • Numerical simulations of sparsely connected integrate-and-fire neuron networks.
  • Analysis of spiking activity across high and low firing rate regimes.
  • Development of a two-parameter scheme for quantifying spike clustering.

Main Results:

  • Spike clustering is a ubiquitous phenomenon in neuronal networks.
  • Background activity leads to broad distributions of event sizes and inter-event times.
  • Systemic driving imposes regularity on inter-event times, generating gamma oscillations.

Conclusions:

  • Emergent spike clustering is a fundamental property of neuronal populations.
  • The proposed quantification scheme effectively characterizes spike patterns.
  • Network activity dynamics reveal distinct patterns under background versus driven conditions.