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首页> 外文期刊>Journal of neural engineering >Decoding stimulus identity from multi-unit activity and local field potentials along the ventral auditory stream in the awake primate: implications for cortical neural prostheses
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Decoding stimulus identity from multi-unit activity and local field potentials along the ventral auditory stream in the awake primate: implications for cortical neural prostheses

机译:从清醒的灵长类动物的腹侧听觉流中的多单元活动和局部场电位解码刺激识别:对皮质神经假体的影响

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摘要

Objective. Hierarchical processing of auditory sensory information is believed to occur in two streams: a ventral stream responsible for stimulus identity and a dorsal stream responsible for processing spatial elements of a stimulus. The objective of the current study is to examine neural coding in this processing stream in the context of understanding the possibility for an auditory cortical neural prosthesis. Approach. We examined the selectivity for species-specific primate vocalizations in the ventral auditory processing stream by applying a statistical classifier to neural data recorded from microelectrode arrays. Multi-unit activity (MUA) and local field potential (LFP) data recorded simultaneously from primary auditory complex (AI) and rostral parabelt (PBr) were decoded on a trial-by-trial basis. Main results. While decode performance in AI was well above chance, mean performance in PBr did not deviate >15% from chance level. Mean performance levels were similar for MUA and LFP decodes. Increasing the spectral and temporal resolution improved decode performance; while inter-electrode spacing could be as large as 1.14 mm without degrading decode performance. Significance. These results serve as preliminary guidance for a human auditory cortical neural prosthesis; instructing interface implementation, microstimulation patterns and anatomical placement.
机译:目的。据信,听觉感觉信息的分层处理发生在两个流中:负责刺激识别的腹侧流和负责处理刺激的空间要素的背侧流。当前研究的目的是在了解听觉皮层神经假体的可能性的背景下检查该处理流中的神经编码。方法。通过对从微电极阵列记录的神经数据应用统计分类器,我们研究了腹听觉处理流中物种特异性灵长类动物发声的选择性。从主要听觉复合体(AI)和延髓副带(PBr)同时记录的多单位活动(MUA)和局部场电势(LFP)数据在逐项试验的基础上进行了解码。主要结果。虽然AI中的解码性能远高于机会,但PBr的平均性能与机会水平的偏差不超过15%。 MUA和LFP解码的平均性能水平相似。增加频谱和时间分辨率可改善解码性能;电极间的间距可能会达到1.14 mm,而不会降低解码性能。意义。这些结果可作为人类听觉皮层神经假体的初步指导。指导界面实现,微刺激模式和解剖位置。

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  • 来源
    《Journal of neural engineering》 |2013年第1期|016010.1-016010.11|共11页
  • 作者单位

    Program in Neuroscience, University of Utah, Salt Lake City, UT, USA,Department of Bioengineering, University of Utah, Salt Lake City, UT, USA;

    Department of Electrical and Computer Engineering, University of Utah, Salt Lake City, UT, USA Division of Biology, Caltech, Pasadena, CA 91125, USA;

    Department of Neurosurgery, University of Utah, Salt Lake City, UT, USA;

    Department of Bioengineering, University of Utah, Salt Lake City, UT, USA;

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