Research Article
Distributed cell assemblies for general lexical and category-specific semantic processing as revealed by fMRI cluster analysis
Article first published online: 24 JUN 2009
DOI: 10.1002/hbm.20811
Copyright © 2009 Wiley-Liss, Inc.
Additional Information
How to Cite
Pulvermüller, F., Kherif, F., Hauk, O., Mohr, B. and Nimmo-Smith, I. (2009), Distributed cell assemblies for general lexical and category-specific semantic processing as revealed by fMRI cluster analysis. Hum. Brain Mapp., 30: 3837–3850. doi: 10.1002/hbm.20811
Publication History
- Issue published online: 17 NOV 2009
- Article first published online: 24 JUN 2009
- Manuscript Accepted: 27 MAR 2009
- Manuscript Revised: 24 MAR 2009
- Manuscript Received: 4 JUN 2008
Funded by
- Medical Research Council (UK). Grant Number: U1055.04.003.00001.01
- European Community (New and Emerging Science and Technologies Programme, NEST-2005-PATH-HUM, NESTCOM). Grant Number: 043374
Options for accessing this content:
- If you have access to this content through a society membership, please first log in to your society website.
- If you would like institutional access to this content, please recommend the title to your librarian.
- Login via Athens http://onlinelibrary.wiley.com/athens or other institutional login options http://onlinelibrary.wiley.com/login-options .
- You can purchase online access to this Article for a 24-hour period (price varies by title)
- If you already have a Wiley Online Library or Wiley InterScience user account: login above and proceed to purchase the article.
- New Users: Please register, then proceed to purchase the article.
Registered Users please login:
- Access your saved publications, articles and searches
- Manage your email alerts, orders and subscriptions
- Change your contact information, including your password
Please register to:
- Save publications, articles and searches
- Get email alerts
- Get all the benefits mentioned below!

1097-0193/asset/HBM_centre.gif?v=1&s=8ec180dd87bbc24c1b35fbfc48370a4e41c34713)
1097-0193/asset/cover.gif?v=1&s=0cf4fa55da70dd12083759168d6ce997f3ca20ae)