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Integration of Synaptic Events

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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...

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Numerical Simulation: Fluctuation in Background Synaptic Activity Regulates Synaptic Plasticity.

Yuto Takeda¹, Katsuhiko Hata^1,2,3,4, Tokio Yamazaki¹

¹Department of Physics, Tokyo University of Science, Tokyo, Japan.

Frontiers in Systems Neuroscience

|December 9, 2021

Summary

Background synaptic activity fluctuation enhances synaptic weight, promoting learning and memory. Increased fluctuation in brain activity, not just spike frequency, influences synaptic plasticity and prevents long-term depression.

Keywords:

background synaptic activity calcium-based model fluctuation frequency-dependent synaptic plasticity neural noise

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Area of Science:

Neuroscience
Computational Neuroscience
Synaptic Plasticity

Background:

Synaptic plasticity, encompassing long-term potentiation (LTP) and long-term depression (LTD), is crucial for brain functions like learning and memory.
Spike frequency is a known factor influencing synaptic plasticity in the brain's noisy environment.
The impact of statistical fluctuations in background synaptic activity amplitude on synaptic plasticity remains poorly understood.

Purpose of the Study:

To investigate the contribution of background synaptic activity amplitude fluctuations to synaptic plasticity.
To elucidate how these fluctuations affect the balance between LTP and LTD.
To understand the mechanisms underlying synaptic weight changes in response to fluctuating neural activity.

Main Methods:

Development and utilization of a calcium-based synapse model.
Conducting numerical simulations to explore synaptic plasticity dynamics.
Analyzing the effects of varying levels of background synaptic activity fluctuation on synaptic potentiation and depression.

Main Results:

Increased fluctuation in background synaptic activity amplitude attenuates the tendency for LTD.
This attenuation leads to a net enhancement of synaptic weight.
Synaptic plasticity is significantly influenced by the amplitude fluctuations, not solely by spike frequency.

Conclusions:

Fluctuations in background synaptic activity amplitude play a critical role in modulating synaptic plasticity.
These fluctuations can shift the balance towards synaptic potentiation, potentially enhancing learning and memory.
The findings highlight a previously underappreciated factor influencing neural information processing in the brain.