About the CARMEN Project

The CARMEN Consortium Meeting 2012

The first CARMEN project started in October 2006. A follow-on project was initiated in 2010. Details of the two projects are shown below:

CARMEN (2006-2010)

CARMEN is an e-Science Pilot Project funded by the Engineering and Physical Sciences Research Council (UK) on contract number EP/E002331/1. It will deliver a virtual laboratory for neurophysiology, enabling sharing and collaborative exploitation of data, analysis code and expertise. Neural activity recordings (signals and image series) are the primary data types.

£5M are committed to 20 scientific investigators at 11 UK universities. Work commenced on 1st October 2006. Over 4 years, a prototype system will be developed, alongside 6 cutting edge use-cases. The project brings together neurophysiologists, neuroinformaticists and computer scientists, to address the complete lifecycle of neurophysiology data.

Download our project factsheet to learn more. You can also read our project proposal.

CARMEN II (2010-2014)
An extension to CARMEN was funded by the Biotechnology and Biological Sciences Research Council (UK) under contract number BB/I000984/1. The projects main aims are to:

  • continue development of the CARMEN VL system and the internal file format;
  • enhance user engagement;
  • provide user-support and training;
  • incorporate other neuroscience domains;
  • interoperability with other resources.

You can read the Project Proposals’s Case for Support here.

Dedication to Professor Colin Ingram

We dedicate this website to our friend and colleague Professor Colin Ingram who sadly passed away in December 2013. Colin was the director of the Institute of Neuroscience at Newcastle University. He was one of the initial instigators of the project, and he led it from the start until his death. Colin was passionate about the CARMEN project. As Principal Investigator of the project and experimentalist himself, he was a strong advocate of seeing the CARMEN platform used by neuroscientists for collaboration and data analysis. We hope to be able to carry his dream on and keep developing the platform, making it attractive to a broader community of basic and clinical neuroscientists.