For Publishers
DiscoveryMetadataPeer reviewHostingPublishing
For Researchers
JoinPublishReviewCollect
Register
Blog
About
Search
Advanced search
My ScienceOpen
Search
For Publishers
For Researchers
Blog
About
170
views
62
references
 Top references
cited by
493
    
0 reviews
 Review
0
comments
 Comment
0
recommends
+1 Recommend
0 collections
    0
    shares
      433
      similar
       All similar
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Brainstorm: A User-Friendly Application for MEG/EEG Analysis

      research-article

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Brainstorm is a collaborative open-source application dedicated to magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and processing, with an emphasis on cortical source estimation techniques and their integration with anatomical magnetic resonance imaging (MRI) data. The primary objective of the software is to connect MEG/EEG neuroscience investigators with both the best-established and cutting-edge methods through a simple and intuitive graphical user interface (GUI).

          Related collections

          Most cited references62

          • Record: found
          • Abstract: not found
          • Article: not found

          Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing

          Yoav Benjamini, Yosef Hochberg (1995)
          Article 0 comments Cited 21418 times – based on 0 reviews     Review now
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Oscillatory gamma activity in humans and its role in object representation.

            Tallon-Baudry, Bertrand (1999)
            We experience objects as whole, complete entities irrespective of whether they are perceived by our sensory systems or are recalled from memory. However, it is also known that many of the properties of objects are encoded and processed in different areas of the brain. How then, do coherent representations emerge? One theory suggests that rhythmic synchronization of neural discharges in the gamma band (around 40 Hz) may provide the necessary spatial and temporal links that bind together the processing in different brain areas to build a coherent percept. In this article we propose that this mechanism could also be used more generally for the construction of object representations that are driven by sensory input or internal, top-down processes. The review will focus on the literature on gamma oscillatory activities in humans and will describe the different types of gamma responses and how to analyze them. Converging evidence that suggests that one particular type of gamma activity (induced gamma activity) is observed during the construction of an object representation will be discussed.
            Article 0 comments Cited 412 times – based on 0 reviews     Review now
              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Beamforming: a versatile approach to spatial filtering

              B.D. Van Veen, K.M. Buckley (1988)
              Article 0 comments Cited 313 times – based on 0 reviews     Review now
                Bookmark
                All references

                Author and article information

                Journal
                Journal ID (nlm-ta): Comput Intell Neurosci
                Journal ID (publisher-id): CIN
                Title: Computational Intelligence and Neuroscience
                Publisher: Hindawi Publishing Corporation
                ISSN (Print): 1687-5265
                ISSN (Electronic): 1687-5273
                Publication date (Print): 2011
                Publication date (Electronic): 13 April 2011
                Volume: 2011
                Affiliations
                1Signal & Image Processing Institute, University of Southern California, Los Angeles, CA 90089, USA
                2MEG Program, Departments of Neurology & Biophysics, Froedtert & Medical College of Wisconsin, Milwaukee, WI 53226, USA
                3Epilepsy Center, Cleveland Clinic Neurological Institute, Cleveland, OH 44195, USA
                4MEG Lab, McGovern Institute for Brain Research, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
                Author notes
                *François Tadel: tadel@ 123456usc.edu

                Academic Editor: Robert Oostenveld

                Article
                DOI: 10.1155/2011/879716
                PMC ID: 3090754
                PubMed ID: 21584256
                SO-VID: 5c24b7b6-bbbe-4749-856d-bdb5c9db6acc
                Copyright statement: Copyright © 2011 François Tadel et al.
                License:

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                Date received : 4 October 2010
                Date accepted : 28 January 2011
                Categories
                Subject: Research Article

                ScienceOpen disciplines: Neurosciences
                Data availability:
                ScienceOpen disciplines: Neurosciences

                Comments

                Comment on this article

                scite_

                Similar content433

                See all similar

                Cited by836

                See all cited by

                Most referenced authors682

                See all reference authors