Spike sorting for large, dense electrode arrays

被引:507
作者
Rossant, Cyrille [1 ,2 ]
Kadir, Shabnam N. [1 ,2 ]
Goodman, Dan F. M. [3 ]
Schulman, John [4 ]
Hunter, Maximilian L. D. [1 ,2 ]
Saleem, Aman B. [5 ]
Grosmark, Andres [6 ]
Belluscio, Mariano [6 ]
Denfield, George H. [7 ]
Ecker, Alexander S. [7 ]
Tolias, Andreas S. [7 ]
Solomon, Samuel [8 ]
Buzsaki, Gyoergy [6 ]
Carandini, Matteo [5 ]
Harris, Kenneth D. [1 ,2 ]
机构
[1] UCL Inst Neurol, London, England
[2] UCL, Dept Neurosci Physiol & Pharmacol, London, England
[3] Univ London Imperial Coll Sci Technol & Med, Dept Elect & Elect Engn, London, England
[4] Univ Calif Berkeley, Dept Elect Engn & Comp Sci, Berkeley, CA 94720 USA
[5] UCL Inst Ophthalmol, London, England
[6] NYU, NYU Neurosci Inst, Langone Med Ctr, New York, NY USA
[7] Baylor Coll Med, Dept Neurosci, Houston, TX 77030 USA
[8] UCL Inst Behav Neurosci, Dept Expt Psychol, London, England
基金
英国工程与自然科学研究理事会; 英国惠康基金; 美国国家科学基金会;
关键词
HIPPOCAMPAL PYRAMIDAL CELLS; MOUSE VISUAL-CORTEX; EXTRACELLULAR RECORDINGS; DATA VISUALIZATION; ACTION-POTENTIALS; LARGE-SCALE; WAVE-FORM; IN-VIVO; UNIT; BACKPROPAGATION;
D O I
10.1038/nn.4268
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
Developments in microfabrication technology have enabled the production of neural electrode arrays with hundreds of closely spaced recording sites, and electrodes with thousands of sites are under development. These probes in principle allow the simultaneous recording of very large numbers of neurons. However, use of this technology requires the development of techniques for decoding the spike times of the recorded neurons from the raw data captured from the probes. Here we present a set of tools to solve this problem, implemented in a suite of practical, user-friendly, open-source software. We validate these methods on data from the cortex, hippocampus and thalamus of rat, mouse, macaque and marmoset, demonstrating error rates as low as 5%.
引用
收藏
页码:634 / +
页数:10
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