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Integration of Synaptic Events

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...

Synaptic Signaling

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.
Most synapses are chemical, meaning an electrical impulse or action potential spurs the release of chemical messengers called neurotransmitters. The neuron sending the signal is called the presynaptic neuron, and the neuron receiving the signal is the postsynaptic neuron.
The presynaptic neuron fires an action potential that...

Synaptic Signaling

Synaptic Signaling

Neurons communicate at synapses, or junctions, to excite or inhibit the activity of other neurons or target cells, such as muscles. Synapses may be chemical or electrical.

Chemical Synapses

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...

Chemical Synapses

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...

The Synapse

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.

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Related Experiment Video

Updated: Apr 23, 2026

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

Published on: April 23, 2019

Synaptic size dynamics as an effectively stochastic process.

Adiel Statman¹, Maya Kaufman², Amir Minerbi²

¹Department of Chemical Engineering, Technion, Haifa, Israel; Network Biology Research Laboratories, Lorry Lokey Center for Life Sciences and Engineering, Technion, Haifa, Israel.

Plos Computational Biology

|October 3, 2014

Summary

This summary is machine-generated.

A new statistical model, the Kesten process, effectively describes synapse size dynamics. This model captures complex synaptic changes, offering insights into glutamatergic synapse stability and formation.

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Last Updated: Apr 23, 2026

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology

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Published on: April 23, 2019

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Published on: June 26, 2018

Area of Science:

Neuroscience
Computational Biology
Statistical Physics

Background:

Synapses exhibit dynamic changes in size over time.
The molecular mechanisms underlying these synaptic size changes are complex and not fully understood.

Purpose of the Study:

To propose a statistical model for synapse size dynamics.
To test if a stochastic process can quantitatively describe synaptic size changes.

Main Methods:

Utilized the Kesten process, a stochastic model combining multiplicative and additive components.
Applied the model to long-term time-lapse imaging data of glutamatergic synapses in ex-vivo cortical networks.

Main Results:

The Kesten process accurately reproduced qualitative synaptic dynamics.
The model quantitatively captured synaptic size distributions, their stability, and scaling under pharmacological manipulation.
The model also described the kinetics of postsynaptic density formation.

Conclusions:

A simple statistical model can effectively represent complex synapse size dynamics.
The Kesten process provides a framework for understanding synapse size regulation at steady state and during perturbations.