Updated: May 9, 2026

A Visual Guide to Sorting Electrophysiological Recordings Using 'SpikeSorter'
Published on: February 10, 2017
Tatsuya Haga1, Osamu Fukayama, Yuzo Takayama
1Graduate School of Information Science and Technology, The University of Tokyo, 7-3-1, Hongo, Bunkyo-ku, Tokyo 113-8656, Japan. Tatsuya_Haga@ipc.i.u-tokyo.ac.jp
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This study introduces a rapid sequential method for accurately detecting and sorting overlapping neural spikes in real-time. The approach uses Bayesian inference and a look-ahead probability to efficiently process complex neural data.
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