Advisory Board and Editors Neuroscience
Giulia Cisotto
Giulia Cisotto is an Assistant Professor (tenure-track) at the Department of Mathematics, Informatics, and Geosciences of the University of Trieste (Italy). She is an IEEE Senior member and a GRIN member. Her research activity is mainly focused on the processing and modeling of complex systems via machine learning and deep learning techniques, with particular expertise in multi-dimensional electroencephalographic (EEG) time-series. She has always been collaborating with several companies and research Hospitals to promote the impact of academic research into the Society. She is also active in the dissemination of science (as a member of the Association "La Via delle Scienze", Italy) and in the promotion of innovative teaching of science in the Academia.
Olivier Civelli
Chair and Professor, Pharmacology and Eric L. and Lila D. Nelson Chair in Neuropharmacology, School of Medicine, University of California, Irvine.
Silvia Comani
I am Full Professor of Applied Physics, affiliated to the Department of Neuroscience, Imaging and Clinical Sciences, at the University “G. d’Annunzio” of Chieti – Pescara, Italy.
My research focuses on biomedical signal processing, mainly on development of methods for removal of artefacts from EEG signals recorded in adults and neonates, and of methods to study brain dynamics and inter-organ functional dynamics in adults and infants to detect the neural correlates of behavior in studies adopting a multimodal and multidisciplinary approach.
Mark Connor
Professor of Pharmacology in the Department of Biomedical Sciences, Faculty of Medicine and Health Sciences, Macquarie University. I study the cellular basis of opioid and cannabinoid receptor/ligand actions, with with the aim of better understanding their acute effects and the adaptations that occur after prolonged administration. This work has taken me to the University of Washington, University of Bristol, University of Sydney and the Vollum Institute before arriving at Macquarie. At the moment my lab focuses on the pharmacology of illicit synthetic cannabinoids and the molecular effects of phytocannabinoids.
Gabriela Constantin
Professor of Pathology and Immunology at the University of Verona, Italy. Dr. Constantin has long-standing expertise in vascular inflammation and leukocyte trafficking with particular focus on the central nervous system. She has a M.D. degree and Residency in Neurology from the University of Milan, and Ph.D. degree from the University of Verona. For her neuroimmunology studies she received several national and international awards. She was elected in the AcademiaNet for excellent woman academics.
Kevin M. Crofton
Research Toxicologist and Acting Deputy Director of the National Center for Computational Toxicology at the US Environmental Protection Agency. Adjunct Assistant Professor in the Department of Toxicology at North Carolina State University and the Curriculum in Toxicology, University of North Carolina at Chapel Hill.
Zachary James Crowley-McHattan
Zac completed his undergraduate (2006), Honors (2007) and Ph.D. (2013) at Southern Cross University and has been a lecturer at SCU since 2012. Zac is broadly interested in investigating the control and learning of motor skills in both functional and sporting contexts. His primary area of research is in neuromuscular changes with ageing and exercise but also has an interest in the potential application of cross-education on neuromuscular adaptations in injury and fatigue.
Markus A Dahlem
Currently Guest Scientist at the Department of Physics at the Humboldt University, Berlin, Germany. Member of the Cardiovascular Physics Lab. Held formerly positions in the Department of Neurology at the University of Magdeburg (Germany) and in the Department of Psychology at the University of Stirling (Scotland, UK).
Mario Dalmaso
Prof. Mario Dalmaso is Associate Professor of Experimental Psychology at the University of Padova, Italy. His research interests include visual attention and perception.
Antonio Damasio
Antonio Damasio is University Professor, David Dornsife Professor of Neuroscience, Professor of Psychology, Professor of Philosophy, and Director of the Brain and Creativity Institute at the University of Southern California; he is also an adjunct professor at the Salk Institute in La Jolla, California. Damasio has made seminal contributions to the understanding of brain processes underlying, emotions, feelings, decision-making and consciousness. He is the author of numerous scientific articles (his Google scholar H Index is 144; over 129,000 citations) and his research has received continuous Federal funding for 30 years. He is the recipient of many awards (including the Grawemeyer Award, 2014; the Honda Prize, 2010; the Asturias Prize in Science and Technology, 2005; and the Signoret Prize, 2004, which he shared with his wife Hanna Damasio). Damasio is a member of the Institute of Medicine of the National Academy of Sciences and a Fellow of the American Academy of Arts and Sciences, the Bavarian Academy of Sciences, and the European Academy of Sciences and Arts. He has been named “Highly Cited Researcher” by the Institute for Scientific Information, and also holds Honorary Doctorates from several Universities.
He has described his discoveries in several books (Descartes’ Error, The Feeling of What Happens, Looking for Spinoza. and Self Comes to Mind) translated and taught in universities worldwide.
Maria A. Deli
Scientific advisor at the Institute of Biophysics, Biological Research Centre of the Hungarian Academy of Sciences in Szeged, Hungary. Head of the Biological Barriers Research Group. Honorary professor at the University of Szeged.
Gopikrishna Deshpande
Prof. Gopikrishna Deshpande is a Professor of Electrical and Computer Engineering at Auburn University. He obtained his Ph.D. in Medical Imaging from Georgia Institute of Technology and his M.S. in Electrical and Computer Engineering from the Indian Institute of Science.
Prof. Deshpande's research interests and expertise include neuroimaging, functional magnetic resonance imaging (fMRI), brain connectivity, signal/image processing and machine learning.