@article{1412393,
      author = {Cohen, Mike X.,},
      url = {http://library.usi.edu/record/1412393},
      title = {Analyzing neural time series data : theory and practice /},
      abstract = {"This book offers a comprehensive guide to the theory and  practice of analyzing electrical brain signals. It explains  the conceptual, mathematical, and implementational (via  Matlab programming) aspects of time-, time-frequency- and  synchronization-based analyses of magnetoencephalography  (MEG), electroencephalography (EEG), and local field  potential (LFP) recordings from humans and nonhuman  animals. It is the only book on the topic that covers both  the theoretical background and the implementation in  language that can be understood by readers without  extensive formal training in mathematics, including  cognitive scientists, neuroscientists, and  psychologists."--},
      recid = {1412393},
      pages = {1 online resource (xviii, 578 pages, 16 unnumbered pages  of plates) :},
}