Signatures of depression in non-stationary biometric time series
Computational Intelligence and Neuroscience - Neuromath: advanced methods for the estimation of human brain activity and connectivity
"Vague-to-crisp" neural mechanism of perception
IEEE Transactions on Neural Networks
Coordinated multiple ramps metering based on neuro-fuzzy adaptive dynamic programming
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Sensor integration in KIV brain model for decision making
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI
IEEE Transactions on Neural Networks
Language and cognition interaction neural mechanisms
Computational Intelligence and Neuroscience
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This book addresses dynamical aspects of brain functions and cognition. Experimental evidence in humans and other mammalians indicates that complex neurodynamics is crucial for the emergence of higher-level intelligence. Dynamical neural systems with encoding in limit cycle and non-convergent attractors have gained increasing popularity in the past decade. The role of synchronization, desynchronization, and intermittent synchronization on cognition has been studied extensively by various authors, in particular by authors contributing to the present volume. This volume gives an overview of recent advances in this interdisciplinary field of cognitive science related to dynamics of cognition, including experimental studies, dynamical modelling and interpretation of cognitive experiments, and theoretical approaches. The following topics are covered in this book: spatio-temporal dynamics of neural correlates of higher-level cognition; dynamical neural memories, including continuous and discrete approaches; mathematical and physical models of cognition; experiments on dynamical aspects of cognition; interpretation of normal and abnormal cognitive behaviours.