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首页> 外文期刊>PLoS Computational Biology >Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons
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Predictive Features of Persistent Activity Emergence in Regular Spiking and Intrinsic Bursting Model Neurons

机译:定期尖峰和内在爆发模型神经元持续活动出现的预测特征。

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Proper functioning of working memory involves the expression of stimulus-selective persistent activity in pyramidal neurons of the prefrontal cortex (PFC), which refers to neural activity that persists for seconds beyond the end of the stimulus. The mechanisms which PFC pyramidal neurons use to discriminate between preferred vs. neutral inputs at the cellular level are largely unknown. Moreover, the presence of pyramidal cell subtypes with different firing patterns, such as regular spiking and intrinsic bursting, raises the question as to what their distinct role might be in persistent firing in the PFC. Here, we use a compartmental modeling approach to search for discriminatory features in the properties of incoming stimuli to a PFC pyramidal neuron and/or its response that signal which of these stimuli will result in persistent activity emergence. Furthermore, we use our modeling approach to study cell-type specific differences in persistent activity properties, via implementing a regular spiking (RS) and an intrinsic bursting (IB) model neuron. We identify synaptic location within the basal dendrites as a feature of stimulus selectivity. Specifically, persistent activity-inducing stimuli consist of activated synapses that are located more distally from the soma compared to non-inducing stimuli, in both model cells. In addition, the action potential (AP) latency and the first few inter-spike-intervals of the neuronal response can be used to reliably detect inducing vs. non-inducing inputs, suggesting a potential mechanism by which downstream neurons can rapidly decode the upcoming emergence of persistent activity. While the two model neurons did not differ in the coding features of persistent activity emergence, the properties of persistent activity, such as the firing pattern and the duration of temporally-restricted persistent activity were distinct. Collectively, our results pinpoint to specific features of the neuronal response to a given stimulus that code for its ability to induce persistent activity and predict differential roles of RS and IB neurons in persistent activity expression.
机译:工作记忆的正常运作涉及前额叶皮质(PFC)锥体神经元中刺激选择性持续活动的表达,这是指在刺激结束后持续数秒的神经活动。在细胞水平上,PFC锥体神经元用于区分偏好输入与中性输入的机制尚不清楚。此外,具有不同发射模式的锥体细胞亚型的存在,例如规则的尖峰和内在爆发,引发了一个问题,即它们在PFC的持续发射中可能起什么独特的作用。在这里,我们使用隔室建模方法来搜索PFC锥体神经元传入刺激的特性中的歧视性特征和/或其信号响应,这些信号表明这些刺激中的哪些将导致持续活动的出现。此外,我们使用建模方法,通过实施常规尖峰(RS)和固有爆发(IB)模型神经元来研究持续活动特性中细胞类型的特异性差异。我们确定基础树突中的突触位置作为刺激选择性的特征。具体而言,在两个模型细胞中,持续诱导活动的刺激均由活化的突触组成,与非诱导刺激相比,该突触位于距躯体较远的位置。此外,动作电位(AP)潜伏期和神经元反应的前几个尖峰间隔可以用来可靠地检测诱导输入与非诱导输入,这表明下游神经元可以快速解码即将到来的信号的潜在机制持续活动的出现。虽然两个模型神经元在持续活动出现的编码特征上没有差异,但持续活动的性质(例如放电模式和时间受限的持续活动的持续时间)却是不同的。总的来说,我们的结果精确地指出了对给定刺激的神经元反应的特定特征,该特征编码了其诱导持续活动并预测RS和IB神经元在持续活动表达中的不同作用的能力。

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