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Related Concept Videos

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...
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...
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.
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...
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...
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...

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Related Experiment Video

Updated: Jun 9, 2026

Evaluation of Synaptic Multiplicity Using Whole-cell Patch-clamp Electrophysiology
10:52

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

Published on: April 23, 2019

Post-synaptic facilitation and network dynamics underlying stimulus-specific combination sensitivity.

Zeina Merabi1, Arij Daou1

  • 1Neurophysiology and Computational Neuroscience Group, Biomedical Engineering Program, American University of Beirut, Beirut, Lebanon.

Iscience
|June 8, 2026
PubMed
Summary
This summary is machine-generated.

Combination-sensitive neurons (CSNs) integrate sensory information over time. A new computational model reveals how inhibitory circuits enable CSNs to detect temporally ordered stimuli across long delays.

Keywords:
neurosciencesensory neurosciencesystems neuroscience

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Last Updated: Jun 9, 2026

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Published on: April 23, 2019

Paired Whole Cell Recordings in Organotypic Hippocampal Slices
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Electrophysiological Investigations of Retinogeniculate and Corticogeniculate Synapse Function
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Area of Science:

  • Computational neuroscience
  • Neural circuits
  • Sensory processing

Background:

  • Combination-sensitive neurons (CSNs) are crucial for processing complex sensory information by responding selectively to specific feature combinations.
  • Understanding the neural mechanisms underlying temporal organization of signals and association across delays is essential for explaining sensory perception.

Purpose of the Study:

  • To investigate how temporally ordered stimulus pairs can be associated across delays of hundreds of milliseconds using a biophysically realistic computational model.
  • To elucidate the circuit-level dynamics enabling coincidence detection and temporal integration in sensory systems.

Main Methods:

  • Development of a biophysically realistic computational model of neurons and circuits.
  • Simulation of temporally ordered stimulus pairs with varying delays.
  • Analysis of intrinsic and synaptic properties influencing neural excitability and response timing.

Main Results:

  • Upstream inhibitory-delay circuits were shown to transiently preserve information about the first stimulus.
  • A combination of inhibitory circuits, post-inhibitory rebound, and facilitation creates a delay-dependent primed state.
  • This mechanism enables precise coincidence detection of separated inputs within a narrow temporal window.

Conclusions:

  • The study provides a circuit-level mechanism linking coincidence detection with longer-timescale temporal integration.
  • This framework explains how combination-sensitive neurons achieve sharply timed, selective responses to temporally ordered stimuli.
  • The findings offer insights into the general principles of temporal coding in sensory systems.