AHAvgis Hadjipapas
Avgis Hadjipapas
*This is an algorithmically generated author record based on publicly available information.
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Avgis Hadjipapas has a total of 9 co-authors. Here are the top co-authors by number of shared publications:
- Gareth Robert Barnes
Department of Imaging Neuroscience, UCL Queen Square Institute of Neurology, University College London, London, United Kingdom
3 shared publications Ian E. Holliday
3 shared publications- Angel Nevado
Department of Basic Psychology II – Cognitive processes, Faculty of Psychology, Complutense University of Madrid, Madrid, Spain
1 shared publication - Arjan Hillebrand
Amsterdam Neuroscience, Brain Imaging, Amsterdam, The Netherlands
1 shared publication Erik Casagrande
1 shared publication- Gary George Reginald Green
University of Wisconsin-Madison
1 shared publication
Latest Publications
- 1 February 2009
- Published by Elsevier in NeuroImage
- Vol. 44 (4) , 1290-1303
Can we observe collective neuronal activity from macroscopic aggregate signals?
- 1 February 2009
- Published by Elsevier in NeuroImage
- Vol. 44 (4) , 1290-1303
Can we observe collective neuronal activity from macroscopic aggregate signals?
- 19 January 2007
- Published by Elsevier in NeuroImage
- Vol. 35 (2) , 518-530
Stimuli of varying spatial scale induce gamma activity with distinct temporal characteristics in human visual cortex
- 19 January 2007
- Published by Elsevier in NeuroImage
- Vol. 35 (2) , 518-530
Stimuli of varying spatial scale induce gamma activity with distinct temporal characteristics in human visual cortex
- 1 June 2005
- Published by Elsevier in Clinical Neurophysiology
- Vol. 116 (6) , 1300-1313
Assessing interactions of linear and nonlinear neuronal sources using MEG beamformers: a proof of concept
- 1 June 2005
- Published by Elsevier in Clinical Neurophysiology
- Vol. 116 (6) , 1300-1313
Assessing interactions of linear and nonlinear neuronal sources using MEG beamformers: a proof of concept