Biological Restraint on the Izhikevich Neuron Model Essential for Seizure Modeling.

Beata Strack, Kimberle M Jacobs, Krzysztof J Cios
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引用次数: 4

Abstract

We propose a simple modification of the Izhikevich neuron model to restrict firing rates of neurons. We demonstrate how this modification affects overall network activity using a simple artificial network. Such restraint on the Izhikevich neuron model would be especially important in larger scale simulations or when frequency dependent short-term plasticity is one of the network components. Although maximum firing rates are most likely exceeded in simulations of seizure like activity or other conditions that promote excessive excitation, we show that restriction of neuronal firing frequencies has impact even on small networks with moderate levels of input.

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癫痫发作模型所必需的Izhikevich神经元模型的生物抑制。
我们提出了一个简单的Izhikevich神经元模型的修改,以限制神经元的放电速率。我们使用一个简单的人工网络来演示这种修改如何影响整个网络活动。这种对Izhikevich神经元模型的限制在更大规模的模拟中,或者当频率依赖的短期可塑性是网络组成部分之一时,将特别重要。尽管最大放电率很可能在类似癫痫发作的活动或其他促进过度兴奋的情况下被超过,但我们表明,限制神经元放电频率甚至对具有中等输入水平的小型网络也有影响。
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