A robust data-driven approach to the decoding of pyloric neuron activity

Filipa dos Santos, Péter András, D. Collins, K. Lam
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Abstract

The combination of intra and extra-cellular recording of small neuronal circuits such as stomatogastric nervous systems of the crab (Cancer borealis) is well documented and routinely practised. Voltage sensitive dye imaging (VSDi) is a promising technology for the simultaneous monitoring of neuronal activities in such a system. However, integrating data obtained from optical VSDi and electrophysiological recording of the lateral ventricular nerve (lvn) is a complex and exacting task. Our early work demonstrated some of the concepts and principle involved. In this paper, we examine and report on the results obtained from the application of signal processing techniques to three datasets for which we had VSDi and lvn data. Whilst significant challenges remain, we show that such an approach offers the possibility of real-time monitoring using automated analysis of VSDi data streams without the requirement for either extracellular (lvn) or intracellular recording.
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一个强大的数据驱动的方法解码幽门神经元的活动
结合小神经元回路的细胞内和细胞外记录,如螃蟹的口胃神经系统(Cancer borealis),有很好的记录和常规实践。电压敏感染料成像(VSDi)是一种很有前途的技术,可以在这种系统中同时监测神经元的活动。然而,整合从光学VSDi和电生理记录的侧脑神经(lvn)获得的数据是一项复杂而艰巨的任务。我们早期的工作展示了一些相关的概念和原理。在本文中,我们检查并报告了信号处理技术应用于三个数据集的结果,其中我们有VSDi和lvn数据。虽然仍然存在重大挑战,但我们表明,这种方法提供了使用VSDi数据流的自动分析进行实时监测的可能性,而不需要细胞外(lvn)或细胞内记录。
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