Signal Processing for Neural Spike Trains

Call for Papers

Signal processing and statistics have been playing a pivotal role in computational neuroscience and neural engineering research. Advances in technology have enabled us to simultaneously record extracellular signals through hundreds of electrode arrays, from which spike trains and local field potentials (LFPs) measurements are obtained. To better understand the brain or develop powerful brain-computer interface (BCI), it is important to process these signals and extract informative features.

This special issue invites original contributions in either theory or algorithm/technology development in the area of signal processing for neural spike trains. The potential research topics include, but not limited to:

  • Fundamental theory and information-theoretic characterization of neural spike trains
  • Statistical analysis for multiple neural spike trains: new neural encoding and decoding paradigms with/without spike sorting, decoding correlated neural spike trains
  • Statistical tests for hypotheses in multiple neural spike train data
  • Neuroprosthetic devices using spike train recordings from visual/auditory/motor/somatosensory areas of the brain from either humans or primates
  • New paradigms in invasive BCI: quantitative neural feedback, sensory integration, and sensorimotor control in BCI
  • New development of statistical (maximum likelihood or Bayesian) inference and machine learning algorithms for population neural spike trains
  • Applications of established theories in adaptive and stochastic control, distributed or MIMO communications to neural signal processing and neural engineering
  • Development of new (cross-interdisciplinary) theories in neural spike train analysis, such as the notions of generalized signal-to-noise (SNR) ratio or generalized channel capacity

Authors should follow the Computational Intelligence and Neuroscience manuscript format described at the journal site http://www.hindawi.com/journals/cin/. Prospective authors should submit an electronic copy of their complete manuscripts through the journal Manuscript Tracking System at http://mts.hindawi.com/, according to the following timetable:

Manuscript DueMarch 1, 2009
First Round of Reviews June 1, 2009
Publication DateSeptember 1, 2009

Guest Editors

  • Theodore W. Berger, Department of Biomedical Engineering, Viterbi School of Engineering, CA 90089, USA
  • Zhe (Sage) Chen, Neuroscience Statistics Research Lab, Massachusetts General Hospital, Harvard Medical School, MA 02114, USA
  • Andrzej Cichocki, Laboratory for Advanced Brain Signal Processing, Brain Science Institute RIKEN, Wako-Shi, Saitama 351-0198, Japan
  • Karim G. Oweiss, Electrical & Computer Engineering Department, Michigan State University, MI48824, USA
  • Rodrigo Quian Quiroga, Department of Engineering, University of Leicester, Leicester LE1 7RH, UK
  • Nitish Thakor, School of Medicine, Johns Hopkins University, MD 21205, USA