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Detailed report on a topic that has already attracted much popular interest. Provides fascinating reading for physicists, biologists and general readers alike.
Attention is a central concept in psychology. The term 'attention' itself has persisted, even though it implies a static, insulated capacity that we use when it is necessary to focus upon some relevant or stimulating event. Riess Jones presents a different way of thinking about attention; one that describes it as a continuous activity that is based on energy fluctuating in time. A majority of attention research fails to examine influence of event time structure (i.e., a speech utterance) on listeners' moment-to-moment attending. General research ignores listeners endowed with innate, as well as acquired, temporal biases. Here, attending is portrayed as a dynamic interaction of an individual ...
The perception of time is crucial for everyday activities from the sleep–wake cycle to playing and appreciating music, verbal communication, to the determination of the value of a particular behavior. With regard to the last point, making decisions is heavily influenced by the duration of the various options, the duration of the expected delays for receiving the options, and the time constraints for making a choice. Recent advances suggest that the brain represents time in a distributed manner and reflects time as a result of temporal changes in network states and/or by the coincidence detection of the phase of different neural populations. Moreover, intrinsic oscillatory properties of neu...
The book surveys how chaotic behaviors can be described with topological tools and how this approach occurred in chaos theory. Some modern applications are included. The contents are mainly devoted to topology, the main field of Robert Gilmore's works in dynamical systems. They include a review on the topological analysis of chaotic dynamics, works done in the past as well as the very latest issues. Most of the contributors who published during the 90's, including the very well-known scientists Otto RAssler, Ren(r) Lozi and Joan Birman, have made a significant impact on chaos theory, discrete chaos, and knot theory, respectively. Very few books cover the topological approach for investigating nonlinear dynamical systems. The present book will provide not only some historical OCo not necessarily widely known OCo contributions (about the different types of chaos introduced by RAssler and not just the RAssler attractor; Gumowski and Mira's contributions in electronics; Poincar(r)'s heritage in nonlinear dynamics) but also some recent applications in laser dynamics, biology,
Based upon the most advanced human-made technology on this planet, CMOS integrated circuit technology, this dissertation examines the design of hardware components and systems to establish a technological foundation for the application of future breakthroughs in the intersection of AI and neuroscience. Humans have long imagined machines, robots, and computers that learn and display intelligence akin to animals and themselves. To advance the development of these machines, specialised research in custom-built hardware designed for specific types of computation, which mirrors the structure of powerful biological nervous systems, is especially important. This dissertation is driven by the quest ...
Time Distortions in Mind brings together current research on aspects of temporal processing in clinical populations, in the ultimate hope of elucidating the interdependence between perturbations in timing and disturbances in the mind and brain. Such research may inform not only typical psychological functioning, but may also elucidate the psychological consequences of any pathophysiological differences in temporal processing. This collection of current knowledge on temporal processing in clinical populations is an excellent reference for the student and scientist interested in the topic, but it also serves as the stepping-stone to share ideas and push forward the advancement in understanding...
The purpose of this Research Topic is to reflect and discuss links between neuroscience, psychology, computer science and robotics with regards to the topic of cross-modal learning which has, in recent years, emerged as a new area of interdisciplinary research. The term cross-modal learning refers to the synergistic synthesis of information from multiple sensory modalities such that the learning that occurs within any individual sensory modality can be enhanced with information from one or more other modalities. Cross-modal learning is a crucial component of adaptive behavior in a continuously changing world, and examples are ubiquitous, such as: learning to grasp and manipulate objects; lea...