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Estimating receptive fields in the presence of spike-time jitter

机译：在存在尖峰时间抖动的情况下估计接收场

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摘要

Neurons in sensory systems are commonly characterized by their receptive fields. These are experimentally often obtained by reverse-correlation analyses, for example, by calculating the spike-triggered average. The reverse-correlation approach, however, generally assumes a fixed temporal relation between spike-generating stimulus features and measured spikes. Temporal jitter of spikes will therefore distort the estimated receptive fields. Here, a novel extension of widely used reverse-correlation techniques (spike-triggered average as well as spike-triggered covariance) is presented that allows accurate measurements of receptive fields even in the presence of considerable spike-time jitter. It is shown that the method correctly recovers the receptive fields from simulated spike trains. When applied to recordings from auditory receptor cells of locusts, a considerable sharpening of receptive fields as compared to standard spike-triggered averages is observed. In addition, the multiple filters that are obtained from a conventional spike-triggered covariance analysis of these data can be collapsed into a single component if spike jitter is accounted for. Finally, it is shown how further effects on spike timing, such as systematic shifts in spike latency, can be included in the approach.
机译：感觉系统中的神经元通常以其感受野为特征。这些通常是在实验上通过反相关分析获得的，例如通过计算尖峰触发的平均值。然而，逆相关方法通常假定产生尖峰的刺激特征和测得的尖峰之间存在固定的时间关系。因此，尖峰的时间抖动将使估计的接收场失真。在这里，提出了一种广泛使用的反向相关技术的新扩展（尖峰触发的平均值以及尖峰触发的协方差），即使在存在明显的尖峰时间抖动的情况下，也可以精确测量接收场。结果表明，该方法可以正确地从模拟尖峰序列中恢复接收场。当将其应用于蝗虫听觉受体细胞的记录时，与标准的峰值触发平均值相比，可以看到感受野的明显锐化。另外，如果考虑到尖峰抖动，则可以将这些数据的常规尖峰触发协方差分析中获得的多个滤波器折叠为单个组件。最后，说明了如何将对尖峰时序的进一步影响（例如尖峰等待时间的系统性变化）包括在该方法中。

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