How advances in neural recording affect data analysis.
How advances in neural recording affect data analysis.
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DOI：
10.1038/nn.2731
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发表时间：
2011-02
影响因子：
25
通讯作者：
Kording, Konrad P.
中科院分区：
文献类型：
--
作者：
Stevenson, Ian H.;Kording, Konrad P.
在过去的五十年中，神经元的进展使简单记录的神经元数量大约是每7年的两倍，从而模仿了摩尔定律，神经元是根据刺激或运动的调整来独立分析的。不受越来越多的简单记录神经元的影响，随着新兴神经元的数量增加，分析神经元之间的相互作用的新技术变得更加准确，更复杂。记录神经元数量的指数增长。
Over the last five decades, progress in neural recording techniques has allowed the number of simultaneously recorded neurons to double approximately every 7 years, mimicking Moore’s law. Such exponential growth motivates us to ask how data analysis techniques are affected by progressively larger numbers of recorded neurons. Traditionally, neurons are analyzed independently on the basis of their tuning to stimuli or movement. Although tuning curve approaches are unaffected by growing numbers of simultaneously recorded neurons, newly developed techniques that analyze interactions between neurons become more accurate and more complex as the number of recorded neurons increases. Emerging data analysis techniques should consider both the computational costs and the potential for more accurate models associated with this exponential growth of the number of recorded neurons.
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影响因子：
64.8
作者：
Pillow JW;Shlens J;Paninski L;Sher A;Litke AM;Chichilnisky EJ;Simoncelli EP
通讯作者：
Simoncelli EP
影响因子：
7.8
作者：
Paninski, L
通讯作者：
Paninski, L
影响因子：
2.5
作者：
Brockwell, AE;Rojas, AL;Kass, RE
通讯作者：
Kass, RE
DOI：
10.1016/0013-4694(81)90035-3
发表时间：
1981-01-01
期刊：
ELECTROENCEPHALOGRAPHY AND CLINICAL NEUROPHYSIOLOGY
影响因子：
--
作者：
BARNA, JS;AREZZO, JC;VAUGHAN, HG
通讯作者：
VAUGHAN, HG
影响因子：
64.8
作者：
Harris, KD;Csicsvari, J;Buzsáki, G
通讯作者：
Buzsáki, G