Cell assemblies at multiple time scales with arbitrary lag constellations
Cell assemblies at multiple time scales with arbitrary lag constellations
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DOI：
10.7554/elife.19428
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发表时间：
2017-01-11
期刊：
影响因子：
7.7
通讯作者：
Durstewitz, Daniel
中科院分区：
文献类型：
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作者：
Russo, Eleonora;Durstewitz, Daniel
赫布的细胞组装作为神经信息处理的基本单位的想法在过去的60年里主导了神经科学，没有其他理论概念。一系列不同的生理现象，从精确同步的尖峰到广泛同步的速率增加，都被归入这个术语。然而，这一领域的进展受到了缺乏统计工具的阻碍，这些工具将能够提取具有任意时间滞后星座的集合，并在多个时间尺度上，部分原因是严重的计算负担。在这里，我们提出了这样一个统一的方法和概念框架，它可以在许多不同的时间尺度，精度水平和任意的内部组织检测装配结构。将这种方法应用于来自不同皮层区域的多个单个单元记录，我们发现没有通用的皮层编码方案，但组装结构和精度显着取决于记录的大脑区域和正在进行的任务需求。
Hebb's idea of a cell assembly as the fundamental unit of neural information processing has dominated neuroscience like no other theoretical concept within the past 60 years. A range of different physiological phenomena, from precisely synchronized spiking to broadly simultaneous rate increases, has been subsumed under this term. Yet progress in this area is hampered by the lack of statistical tools that would enable to extract assemblies with arbitrary constellations of time lags, and at multiple temporal scales, partly due to the severe computational burden. Here we present such a unifying methodological and conceptual framework which detects assembly structure at many different time scales, levels of precision, and with arbitrary internal organization. Applying this methodology to multiple single unit recordings from various cortical areas, we find that there is no universal cortical coding scheme, but that assembly structure and precision significantly depends on the brain area recorded and ongoing task demands.