Neural Dynamics in Motor and Sensory Systems and in Cognitive Functions.- Cognitive Network and Multi-Scale Neural Network Dynamics.- Neuroengineering, Neuroinformation and Brain Computer Interaction.- Modelling Higher-Order Functions and Dysfunctions.- Oscillation, Synchronization, Neural Plasticity, and Coordination Dynamics from Neural to Social Systems.
Dr. Alessandra Lintas is a group leader of HEC LABEX & ISI Complexity Science Group, University of Lausanne, Switzerland. Her research focuses on neural networks, decision making and experimental human neuroscience with electrophysiology and functional NearInfrared Spectroscopy.
Dr. Paolo Enrico is a researcher of the Department of Biomedical Sciences, University of Sassari, Italy. His research focuses on neuropharmacology and computational neuroscience. He has published more than 60 research articles.
Dr. Xiaochuan Pan is a professor of the Institute for Cognitive Neurodynamics, East China University of Science and Technology. His research focuses on molecular mechanisms of decision making, quantitative analysis of functional connectivity, and reward prediction process for learning behavior.
Dr. Rubin Wang is a professor and the director of the Institute for Cognitive Neurodynamics, East China University of Science and Technology. He serves as Editor-in-Chief for Cognitive Neurodynamics, published by Springer. His research focuses on neural information processing and cognitive neurodynamics.
Dr. Alessandro E.P. Villa is a member of the Swiss Academy of Engineering Sciences. He is a professor and founding director of the NeuroHeuristic Research Group, University of Lausanne, Switzerland. His research focuses on a transdisciplinary approach of brain dynamics and complexity.
This book contains original articles submitted to the Seventh International Conference on Cognitive Neurodynamics (ICCN 2019). The brain is an endless case study of a complex system characterized by multiple levels of integration, multiple time scales of activity, and multiple coding and decoding properties. The contribution of several disciplines, mathematics, physics, computer science, neurobiology, pharmacology, physiology, and behavioral and clinical sciences, is necessary in order to cope with such seemingly unattainable complexity that transforms the experimental information into a tricky puzzle which hides the correspondence with model predictions. This conference gathered active participants to discuss ideas and pose new questions from different viewpoints, ranging from single neurons and neural networks to animal/human behavior in theoretical and experimental studies. The conference is organized with plenary lectures, mini-symposia, interdisciplinary round tables, and oral and poster sessions.