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Information Decomposition of Target Effects from Multi-Source Interactions
This book is a printed edition of the Special Issue "Information Decomposition of Target Effects from Multi-Source Interactions" that was published in Entropy
The Cortex and the Critical Point
How the cerebral cortex operates near a critical phase transition point for optimum performance. Individual neurons have limited computational powers, but when they work together, it is almost like magic. Firing synchronously and then breaking off to improvise by themselves, they can be paradoxically both independent and interdependent. This happens near the critical point: when neurons are poised between a phase where activity is damped and a phase where it is amplified, where information processing is optimized, and complex emergent activity patterns arise. The claim that neurons in the cortex work best when they operate near the critical point is known as the criticality hypothesis. In th...
Criticality as a signature of healthy neural systems: multi-scale experimental and computational studies
Since 2003, when spontaneous activity in cortical slices was first found to follow scale-free statistical distributions in size and duration, increasing experimental evidences and theoretical models have been reported in the literature supporting the emergence of evidence of scale invariance in the cortex. Although strongly debated, such results refer to many different in vitro and in vivo preparations (awake monkeys, anesthetized rats and cats, in vitro slices and dissociated cultures), suggesting that power law distributions and scale free correlations are a very general and robust feature of cortical activity that has been conserved across species as specific substrate for information sto...
Information-based methods for neuroimaging: analyzing structure, function and dynamics
The aim of this Research Topic is to discuss the state of the art on the use of Information-based methods in the analysis of neuroimaging data. Information-based methods, typically built as extensions of the Shannon Entropy, are at the basis of model-free approaches which, being based on probability distributions rather than on specific expectations, can account for all possible non-linearities present in the data in a model-independent fashion. Mutual Information-like methods can also be applied on interacting dynamical variables described by time-series, thus addressing the uncertainty reduction (or information) in one variable by conditioning on another set of variables. In the last years...
From Matter to Life
This book tackles the most difficult and profound open questions about life and its origins from an information-based perspective.
The Cooperative Neuron
The Cooperative Neuron is part of a revolution that is occurring in the sciences of brain and mind. It explores the new field of cellular psychology, a field built upon the recent discovery that many neurons in the brain cooperate to seek agreement in deciding what's relevant in the current context. This cooperative context-sensitivity provides the cellular foundations for knowledge, doubt, imagination, self-development, and the search for purpose in life. This emerging field has far-reaching and fundamental implications for psychology, neuroscience, psychiatry, neurology, and the philosophy of mind. In a clear and accessible style, the book explains the neuroscience to psychologists, the psychology to neuroscientists, and both to philosophers, students of the behavioral and brain sciences, and to anyone intrigued by the enduring mystery of how brains can be minds.
Our Self-Organized Brains
This book describes the dynamic nature of the brain and its mechanisms to develop cognitive skills, specifically learning. It will facilitate the reader’s appreciation and understanding of many concepts linked to cognition using a systemic approach to neuroscience. It introduces concepts of feedback control systems and self-organized systems that allow brain dynamics to be approached systemically, facilitating a holistic comprehension. The book is written in plain language and uses a wide variety of examples to facilitate its reading and understanding. It will serve to promote transdisciplinary communication in readers interested in the study of the fundamental dynamic aspects involved in the human learning process, both individually and socially.
Language, Syntax, and the Natural Sciences
An exploration of human language from the perspective of the natural sciences, this outstanding book brings together leading specialists to discuss the scientific connection of language to disciplines such as mathematics, physics, chemistry and biology.
Essentials of Cognitive Neuroscience
Essentials of Cognitive Neuroscience introduces and explicates key principles and concepts in cognitive neuroscience in such a way that the reader will be equipped to critically evaluate the ever-growing body of findings that the field is generating. For some students this knowledge will be needed for subsequent formal study, and for all readers it will be needed to evaluate and interpret reports about cognitive neuroscience research that make their way daily into the news media and popular culture. The book seeks to do so in a style that will give the student a sense of what it's like to be a cognitive neuroscientist: when confronted with a problem, how does one proceed? How does one read and interpret research that's outside of one's sub-area of specialization? How do two scientists advancing mutually incompatible models interrelate? Most importantly, what does it feel like to partake in the wonder and excitement of this most dynamic and fundamental of sciences?
