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Related Concept Videos

Overview of Synapses01:25

Overview of Synapses

A synapse is a specialized structure where two neurons connect, allowing them to pass an electrical or chemical signal to another neuron. It is the point of communication between neurons. The term "synapse" is derived from the Greek word "synapsis," which means "conjunction." The entire process of neural communication revolves around the synapse. When activated, a neuron releases chemicals known as neurotransmitters into the synapse. These neurotransmitters cross the synapse and bind to...
The Synapse02:47

The Synapse

Neurons communicate with one another by passing on their electrical signals to other neurons. A synapse is the location where two neurons meet to exchange signals. At the synapse, the neuron that sends the signal is called the presynaptic cell, while the neuron that receives the message is called the postsynaptic cell. Note that most neurons can be both presynaptic and postsynaptic, as they both transmit and receive information.
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...
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...
Neuronal Communication01:28

Neuronal Communication

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...
Chemical Synapses01:26

Chemical Synapses

Chemical synapses are specialized sites between two neurons or between a neuron and a non-neuronal cell like a muscle, glandular or sensory cell.
Because chemical synapses depend on the release of neurotransmitter molecules from synaptic vesicles to pass on their signal, there is an approximately one millisecond delay between when the axon potential reaches the presynaptic terminal and when the neurotransmitter leads to opening of postsynaptic ion channels. Additionally, this signaling is...

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Contribution of the Na+/K+ Pump to Rhythmic Bursting, Explored with Modeling and Dynamic Clamp Analyses
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On the relation between bursts and dynamic synapse properties: a modulation-based ansatz.

Christian Mayr1, Johannes Partzsch, Rene Schüffny

  • 1Chair for Parallel VLSI Systems and Neural Circuits, Dresden University of Technology, 01062 Dresden, Germany. mayr@iee.et.tu-dresden.de

Computational Intelligence and Neuroscience
|July 9, 2009
PubMed
Summary
This summary is machine-generated.

This study presents a mathematical expression for the quantal model of neurotransmitter release, revealing how synapse filtering depends on pulse patterns. This advances understanding of dynamic synapse transmission and neural signaling.

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Synaptic Plasticity

Background:

  • Synapses filter presynaptic pulse trains based on history and pulse timing.
  • Existing behavioral models struggle to fully capture these complex filtering properties.
  • The quantal model of neurotransmitter release shows selectivity for specific pulse patterns but lacks mathematical analysis.

Purpose of the Study:

  • To derive a comprehensive explicit mathematical expression for the quantal model.
  • To correlate model parameters with preferred synapse spike train patterns.
  • To analyze the transmission of modulated pulse trains across dynamic synapses.

Main Methods:

  • Derivation of an explicit mathematical expression for the quantal model.
  • Analysis of the correlation between explicit expression parameters and synapse spike train patterns.
  • Investigation of modulated pulse train transmission through dynamic synapses.

Main Results:

  • A comprehensive explicit expression for the quantal model was successfully derived.
  • Direct correlations were established between model parameters and preferred synapse spike train patterns.
  • The analysis linked quantal model parameters to the transmission efficacy of bursting and constant-rate spiking regimes.

Conclusions:

  • The derived explicit expression facilitates mathematical analysis of the quantal model.
  • Understanding synapse filtering properties is crucial for deciphering neural communication.
  • This work provides a quantitative link between quantal release parameters and dynamic synapse behavior.