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语境至关重要:猕猴 V1 感受野的虚幻简单性。

Context matters: the illusive simplicity of macaque V1 receptive fields.

机构信息

Martinos Center for Biomedical Imaging, Massachusetts General Hospital, Charlestown, Massachusetts, United States of America.

出版信息

PLoS One. 2012;7(7):e39699. doi: 10.1371/journal.pone.0039699. Epub 2012 Jul 3.

Abstract

Even in V1, where neurons have well characterized classical receptive fields (CRFs), it has been difficult to deduce which features of natural scenes stimuli they actually respond to. Forward models based upon CRF stimuli have had limited success in predicting the response of V1 neurons to natural scenes. As natural scenes exhibit complex spatial and temporal correlations, this could be due to surround effects that modulate the sensitivity of the CRF. Here, instead of attempting a forward model, we quantify the importance of the natural scenes surround for awake macaque monkeys by modeling it non-parametrically. We also quantify the influence of two forms of trial to trial variability. The first is related to the neuron's own spike history. The second is related to ongoing mean field population activity reflected by the local field potential (LFP). We find that the surround produces strong temporal modulations in the firing rate that can be both suppressive and facilitative. Further, the LFP is found to induce a precise timing in spikes, which tend to be temporally localized on sharp LFP transients in the gamma frequency range. Using the pseudo R(2) as a measure of model fit, we find that during natural scene viewing the CRF dominates, accounting for 60% of the fit, but that taken collectively the surround, spike history and LFP are almost as important, accounting for 40%. However, overall only a small proportion of V1 spiking statistics could be explained (R(2)∼5%), even when the full stimulus, spike history and LFP were taken into account. This suggests that under natural scene conditions, the dominant influence on V1 neurons is not the stimulus, nor the mean field dynamics of the LFP, but the complex, incoherent dynamics of the network in which neurons are embedded.

摘要

即使在 V1 中,神经元具有特征明确的经典感受野(CRF),也很难推断出它们实际上对自然场景刺激的哪些特征做出反应。基于 CRF 刺激的前向模型在预测 V1 神经元对自然场景的反应方面取得的成功有限。由于自然场景具有复杂的空间和时间相关性,这可能是由于周围环境对 CRF 敏感性的调制。在这里,我们没有尝试前向模型,而是通过非参数化建模来量化自然场景周围环境对清醒猕猴的重要性。我们还量化了两种形式的trial-to-trial 变异性的影响。第一种与神经元自身的尖峰历史有关。第二种与局部场电位(LFP)反映的持续平均场群体活动有关。我们发现,周围环境会对放电率产生强烈的时间调制,可以是抑制性的,也可以是促进性的。此外,LFP 被发现会在尖峰中诱导出精确的时间,这些尖峰往往在伽马频带的 LFP 瞬变中具有时间上的局部性。使用伪 R(2)作为模型拟合的度量,我们发现,在观看自然场景时,CRF 占据主导地位,占拟合的 60%,但综合来看,周围环境、尖峰历史和 LFP 几乎同样重要,占 40%。然而,即使考虑了完整的刺激、尖峰历史和 LFP,V1 尖峰统计数据也只能解释一小部分(R(2)∼5%)。这表明,在自然场景条件下,对 V1 神经元的主要影响不是刺激,也不是 LFP 的平均场动力学,而是神经元所处网络的复杂、非相干动力学。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ef64/3389039/32864af2685d/pone.0039699.g001.jpg

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