On the Neuronal Processing of Movement Dynamics

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Publisher :
ISBN 13 :
Total Pages : 356 pages
Book Rating : 4.:/5 (55 download)

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Book Synopsis On the Neuronal Processing of Movement Dynamics by : Camillo Padoa-Schioppa

Download or read book On the Neuronal Processing of Movement Dynamics written by Camillo Padoa-Schioppa and published by . This book was released on 2002 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: (Cont.) With respect to M1, comparison of the movement-related activity recorded prior to, during, and after exposure to the perturbing force reveals a double level of neuronal coding. As a population, neurons in M1 display changes that mirror the changes observed in the EMG of muscles. In a statistical sense, the population activity of M1 after re-adaptation is not distinguishable from that before exposure to the force. Thus, the population activity of M1 reflects motor performance. However, single neurons maintain -after re-adaptation -trace of the adaptation experience. Thus, the activity of M1 neurons also reflects motor learning.

Dynamics of Visual Motion Processing

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Publisher : Springer Science & Business Media
ISBN 13 : 1441907815
Total Pages : 362 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Dynamics of Visual Motion Processing by : Guillaume S. Masson

Download or read book Dynamics of Visual Motion Processing written by Guillaume S. Masson and published by Springer Science & Business Media. This book was released on 2009-12-02 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Motion processing is an essential piece of the complex brain machinery that allows us to reconstruct the 3D layout of objects in the environment, to break camouflage, to perform scene segmentation, to estimate the ego movement, and to control our action. Although motion perception and its neural basis have been a topic of intensive research and modeling the last two decades, recent experimental evidences have stressed the dynamical aspects of motion integration and segmentation. This book presents the most recent approaches that have changed our view of biological motion processing. These new experimental evidences call for new models emphasizing the collective dynamics of large population of neurons rather than the properties of separate individual filters. Chapters will stress how the dynamics of motion processing can be used as a general approach to understand the brain dynamics itself.

Neuronal Dynamics

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Publisher : Cambridge University Press
ISBN 13 : 1107060834
Total Pages : 591 pages
Book Rating : 4.1/5 (7 download)

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Book Synopsis Neuronal Dynamics by : Wulfram Gerstner

Download or read book Neuronal Dynamics written by Wulfram Gerstner and published by Cambridge University Press. This book was released on 2014-07-24 with total page 591 pages. Available in PDF, EPUB and Kindle. Book excerpt: This solid introduction uses the principles of physics and the tools of mathematics to approach fundamental questions of neuroscience.

Neuronal Dynamics of Visual Movement Processing Areas

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Publisher :
ISBN 13 :
Total Pages : 133 pages
Book Rating : 4.:/5 (52 download)

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Book Synopsis Neuronal Dynamics of Visual Movement Processing Areas by : Ferenc Acs

Download or read book Neuronal Dynamics of Visual Movement Processing Areas written by Ferenc Acs and published by . This book was released on 2009 with total page 133 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neuroelectrodynamics

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Publisher : IOS Press
ISBN 13 : 1607500914
Total Pages : 252 pages
Book Rating : 4.6/5 (75 download)

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Book Synopsis Neuroelectrodynamics by : Dorian Aur

Download or read book Neuroelectrodynamics written by Dorian Aur and published by IOS Press. This book was released on 2010 with total page 252 pages. Available in PDF, EPUB and Kindle. Book excerpt: The essence of brain function consists in how information is processed, transferred and stored. Current neurophysiological doctrine remains focused within a spike timing paradigm, but this has a limited capacity for advancing the understanding of how the brain works. This book puts forward a new model; the neuroelectrodynamic model (NED), which describes the intrinsic computational processes by the dynamics and interaction of charges. It uses established laws of physics, such as those of classical mechanics, thermodynamics and quantum physics, as the guiding principle to develop a general theoretical construct of the brain s computational model, which incorporates the neurobiology of the cells and the molecular machinery itself, along with the electrical activity in neurons, to explain experimental results and predict the organization of the system. After addressing the deficiencies of current approaches, the laws and principles required to build a new model are discussed. In addition, as well as describing experiments which provide the required link between computation and semantics, the book highlights important concepts relating the theory of information with computation and the electrical properties of neurons. The NED model is explained and expounded and several examples of its application are shown. Of interest to all those involved in the fields of neuroscience, neurophysiology, computer science and the development of artificial intelligence, NED is a step forward in understanding the mind in computational terms. IOS Press is an international science, technical and medical publisher of high-quality books for academics, scientists, and professionals in all fields. Some of the areas we publish in: -Biomedicine -Oncology -Artificial intelligence -Databases and information systems -Maritime engineering -Nanotechnology -Geoengineering -All aspects of physics -E-governance -E-commerce -The knowledge economy -Urban studies -Arms control -Understanding and responding to terrorism -Medical informatics -Computer Sciences

An Introduction to Neural Information Processing

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Publisher : Springer
ISBN 13 : 9401773939
Total Pages : 338 pages
Book Rating : 4.4/5 (17 download)

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Book Synopsis An Introduction to Neural Information Processing by : Peiji Liang

Download or read book An Introduction to Neural Information Processing written by Peiji Liang and published by Springer. This book was released on 2015-12-22 with total page 338 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an overview of neural information processing research, which is one of the most important branches of neuroscience today. Neural information processing is an interdisciplinary subject, and the merging interaction between neuroscience and mathematics, physics, as well as information science plays a key role in the development of this field. This book begins with the anatomy of the central nervous system, followed by an introduction to various information processing models at different levels. The authors all have extensive experience in mathematics, physics and biomedical engineering, and have worked in this multidisciplinary area for a number of years. They present classical examples of how the pioneers in this field used theoretical analysis, mathematical modeling and computer simulation to solve neurobiological problems, and share their experiences and lessons learned. The book is intended for researchers and students with a mathematics, physics or informatics background who are interested in brain research and keen to understand the necessary neurobiology and how they can use their specialties to address neurobiological problems. It is also provides inspiration for neuroscience students who are interested in learning how to use mathematics, physics or informatics approaches to solve problems in their field.

Moving Through the Brain

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (665 download)

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Book Synopsis Moving Through the Brain by : Rachel Stern Kalmar

Download or read book Moving Through the Brain written by Rachel Stern Kalmar and published by . This book was released on 2010 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: Movement preparation allows the rapid and accurate execution of voluntary move- ments, and can be influenced by factors that may change from moment to moment, such as attention and differences in stimulus properties. Consequently, movement preparation unfolds differently across many repetitions of the same movement. Averaging neural responses across many repetitions is necessary to interpret single-cell recordings, but diminishes our ability to characterize the dynamics of the underlying process. A central question in neuroscience, and also of fundamental clinical importance, is to understand how these plans develop in the brain. Several research groups are starting to build prosthetic devices that are controlled directly by neural activity in motor areas of the brain (Nicolelis, 2001; Donoghue, 2002; Musallam et al., 2004; Schwartz, 2004; Santhanam et al., 2006; Hochberg et al., 2006; Mulliken et al., 2008; Andersen et al., 2010), but the extent to which these can be developed may hinge critically upon our understanding of the neural basis of motor preparation. Simultaneous recording from populations of neurons allows dynamics of movement preparation to be estimated on single trials. Our goal is to characterize these dynamics, to gain insight into the process underlying movement preparation. Here, we recorded peri-saccadic activity from ensembles of neurons in an oculomotor area, prearcuate cortex, in two monkeys. While monkeys performed visually-guided eye movements, we measured firing rates of a population of neurons using a 96-electrode array. We studied (1) the responses from a heterogeneous population of prearcuate cortex neurons involved in decision-making and movement preparation, (2) the relationship between saccade initiation times and responses from the neural population, and (3) how these responses compared to those recorded in PMd, a cortical area involved in arm movements. The array data from prearcuate allowed us to compare responses from individual neurons with previous findings, but also allowed us to analyze the population dynamics of movement planning, by using techniques applied to the reach system. We found that ensemble responses from diverse populations of prearcuate neurons (1) can be visualized as trajectories moving through a low-dimensional neural state space, (2) reflect visual, decision-, and movement-related aspects of the task, and (3) correlate with a monkey's reaction time on a trial-by-trial basis. Further, the single-trial relationship between ensemble activity in prearcuate cortex and saccadic reaction times was qualitatively and quantitatively very similar to the relationship between ensemble activity in PMd and corresponding reach reaction times. This framework for analyzing neural population activity and dynamics should permit new extensions of single-neuron-level models, and may offer further insight into general mechanisms of movement preparation across motor systems.

Neural and Computational Modeling of Movement Control

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Publisher : Frontiers Media SA
ISBN 13 : 2889451305
Total Pages : 180 pages
Book Rating : 4.8/5 (894 download)

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Book Synopsis Neural and Computational Modeling of Movement Control by : Ning Lan

Download or read book Neural and Computational Modeling of Movement Control written by Ning Lan and published by Frontiers Media SA. This book was released on 2017-04-17 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the study of sensorimotor systems, an important research goal has been to understand the way neural networks in the spinal cord and brain interact to control voluntary movement. Computational modeling has provided insight into the interaction between centrally generated commands, proprioceptive feedback signals and the biomechanical responses of the moving body. Research in this field is also driven by the need to improve and optimize rehabilitation after nervous system injury and to devise biomimetic methods of control in robotic devices. This research topic is focused on efforts dedicated to identify and model the neuromechanical control of movement. Neural networks in the brain and spinal cord are known to generate patterned activity that mediates coordinated activation of multiple muscles in both rhythmic and discrete movements, e.g. locomotion and reaching. Commands descending from the higher centres in the CNS modulate the activity of spinal networks, which control movement on the basis of sensory feedback of various types, including that from proprioceptive afferents. The computational models will continue to shed light on the central strategies and mechanisms of sensorimotor control and learning. This research topic demonstrated that computational modeling is playing a more and more prominent role in the studies of postural and movement control. With increasing ability to gather data from all levels of the neuromechanical sensorimotor systems, there is a compelling need for novel, creative modeling of new and existing data sets, because the more systematic means to extract knowledge and insights about neural computations of sensorimotor systems from these data is through computational modeling. While models should be based on experimental data and validated with experimental evidence, they should also be flexible to provide a conceptual framework for unifying diverse data sets, to generate new insights of neural mechanisms, to integrate new data sets into the general framework, to validate or refute hypotheses and to suggest new testable hypotheses for future experimental investigation. It is thus expected that neural and computational modeling of the sensorimotor system should create new opportunities for experimentalists and modelers to collaborate in a joint endeavor to advance our understanding of the neural mechanisms for postural and movement control. The editors would like to thank Professor Arthur Prochazka, who helped initially to set up this research topic, and all authors who contributed their articles to this research topic. Our appreciation also goes to the reviewers, who volunteered their time and effort to help achieve the goal of this research topic. We would also like to thank the staff members of editorial office of Frontiers in Computational Neuroscience for their expertise in the process of manuscript handling, publishing, and in bringing this ebook to the readers. The support from the Editor-in-Chief, Dr. Misha Tsodyks and Dr. Si Wu is crucial for this research topic to come to a successful conclusion. We are indebted to Dr. Si Li and Ms. Ting Xu, whose assistant is important for this ebook to become a reality. Finally, this work is supported in part by grants to Dr. Ning Lan from the Ministry of Science and Technology of China (2011CB013304), the Natural Science Foundation of China (No. 81271684, No. 61361160415, No. 81630050), and the Interdisciplinary Research Grant cross Engineering and Medicine by Shanghai Jiao Tong University (YG20148D09). Dr. Vincent Cheung is supported by startup funds from the Faculty of Medicine of The Chinese University of Hong Kong. Guest Associate Editors Ning Lan, Vincent Cheung, and Simon Gandevia

Coherent Behavior in Neuronal Networks

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Publisher : Springer Science & Business Media
ISBN 13 : 1441903895
Total Pages : 311 pages
Book Rating : 4.4/5 (419 download)

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Book Synopsis Coherent Behavior in Neuronal Networks by : Krešimir Josic

Download or read book Coherent Behavior in Neuronal Networks written by Krešimir Josic and published by Springer Science & Business Media. This book was released on 2009-08-22 with total page 311 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent experimental research advances have led to increasingly detailed descriptions of how networks of interacting neurons process information. With these developments, it has become clear that dynamic network behaviors underlie information processing, and that the observed activity patterns cannot be fully explained by simple concepts such as synchrony and phase locking. These new insights raise significant challenges and offer exciting opportunities for experimental and theoretical neuroscientists. Coherent Behavior in Neuronal Networks features a review of recent research in this area from some of the world’s foremost experts on systems neuroscience. The book presents novel methodologies and interdisciplinary perspectives, and will serve as an invaluable resource to the research community. Highlights include the results of interdisciplinary collaborations and approaches as well as topics, such as the interplay of intrinsic and synaptic dynamics in producing coherent neuronal network activity and the roles of globally coherent rhythms and oscillations in the coordination of distributed processing, that are of significant research interest but have been underrepresented in the review literature. With its cutting-edge mathematical, statistical, and computational techniques, this volume will be of interest to all researchers and students in the field of systems neuroscience.

Neural Information Processing with Dynamical Synapses

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Publisher : Frontiers E-books
ISBN 13 : 2889193837
Total Pages : 179 pages
Book Rating : 4.8/5 (891 download)

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Book Synopsis Neural Information Processing with Dynamical Synapses by : Si Wu

Download or read book Neural Information Processing with Dynamical Synapses written by Si Wu and published by Frontiers E-books. This book was released on 2015-01-08 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural Dynamics of Adaptive Sensory-Motor Control

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Publisher : Elsevier
ISBN 13 : 0080866840
Total Pages : 353 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Neural Dynamics of Adaptive Sensory-Motor Control by :

Download or read book Neural Dynamics of Adaptive Sensory-Motor Control written by and published by Elsevier. This book was released on 2011-10-10 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neural Dynamics of Adaptive Sensory-Motor Control

Analysis of Neural Data

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Publisher : Springer
ISBN 13 : 1461496020
Total Pages : 663 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Analysis of Neural Data by : Robert E. Kass

Download or read book Analysis of Neural Data written by Robert E. Kass and published by Springer. This book was released on 2014-07-08 with total page 663 pages. Available in PDF, EPUB and Kindle. Book excerpt: Continual improvements in data collection and processing have had a huge impact on brain research, producing data sets that are often large and complicated. By emphasizing a few fundamental principles, and a handful of ubiquitous techniques, Analysis of Neural Data provides a unified treatment of analytical methods that have become essential for contemporary researchers. Throughout the book ideas are illustrated with more than 100 examples drawn from the literature, ranging from electrophysiology, to neuroimaging, to behavior. By demonstrating the commonality among various statistical approaches the authors provide the crucial tools for gaining knowledge from diverse types of data. Aimed at experimentalists with only high-school level mathematics, as well as computationally-oriented neuroscientists who have limited familiarity with statistics, Analysis of Neural Data serves as both a self-contained introduction and a reference work.

Dynamic Thinking

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Publisher : Oxford University Press
ISBN 13 : 0199300569
Total Pages : 421 pages
Book Rating : 4.1/5 (993 download)

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Book Synopsis Dynamic Thinking by : Gregor Schöner

Download or read book Dynamic Thinking written by Gregor Schöner and published by Oxford University Press. This book was released on 2016 with total page 421 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book describes a new theoretical approach--Dynamic Field Theory (DFT)--that explains how people think and act"--

Interlimb Coordination

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Publisher : Academic Press
ISBN 13 : 1483289249
Total Pages : 660 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Interlimb Coordination by : Stephan P. Swinnen

Download or read book Interlimb Coordination written by Stephan P. Swinnen and published by Academic Press. This book was released on 2013-10-22 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensive edited treatise discusses the neurological, physiological, and cognitive aspects of interlimb coordination. It is unique in promoting a multidisciplinary perspective through introductory chapter contributions from experts in the neurosciences, experimental and developmental psychology, and kinesiology. Beginning with chapters defining the neural basis of interlimb coordination in animals, the book progresses toward an understanding of human locomotor control and coordination and the underlying brain structures and nerves that make such control possible. Section two focuses on the dynamics of interlimb coordination and the physics of movement. The final section presents information on how practice and experience affect coordination, including general skill acquisition, learning to walk, and the process involved in rhythmic tapping.

Neural Dynamics of Motion Processing and Speed Discrimination

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Publisher :
ISBN 13 :
Total Pages : 28 pages
Book Rating : 4.:/5 (33 download)

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Book Synopsis Neural Dynamics of Motion Processing and Speed Discrimination by : Jonathan Chey

Download or read book Neural Dynamics of Motion Processing and Speed Discrimination written by Jonathan Chey and published by . This book was released on 1994 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neuronal Processing of Optic Flow

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Publisher : Academic Press
ISBN 13 : 0080857787
Total Pages : 343 pages
Book Rating : 4.0/5 (88 download)

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Book Synopsis Neuronal Processing of Optic Flow by :

Download or read book Neuronal Processing of Optic Flow written by and published by Academic Press. This book was released on 1999-12-06 with total page 343 pages. Available in PDF, EPUB and Kindle. Book excerpt: When we walk, drive a car, or fly an airplane, visual motion is used to control and guide our movement. Optic flow describes the characteristic pattern of visual motion that arises in these situations. This book is the first to take an in-depth look at the neuronal processing strategies that underlie the brain's ability to analyze and use optic flow for the control of self-motion. It does so in a variety of species which use optic flow in different behavioral contexts. The spectrum ranges from flying insects to birds, higher mammals and man. The contributions cover physiological and behavioral studies as well as computational models. Neuronal Processing of Optic Flow provides an authoritative and comprehensive overview of the current state of research on this topic written by a group of authors who have made essential contributions to shaping this field of research over the last ten years. Provides the first detailed overview of the analysis of complex visual motion patterns in the brain Includes physiological, behavioral, and computational aspects of optic flow processing Highlights similarities and differences between different animal species and behavioral tasks Covers human patients with visual motion deficits Enhances the reader's understanding with many illustrations

Andy Clark and His Critics

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Publisher : Oxford University Press, USA
ISBN 13 : 0190662816
Total Pages : 329 pages
Book Rating : 4.1/5 (96 download)

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Book Synopsis Andy Clark and His Critics by : Matteo Colombo

Download or read book Andy Clark and His Critics written by Matteo Colombo and published by Oxford University Press, USA. This book was released on 2019 with total page 329 pages. Available in PDF, EPUB and Kindle. Book excerpt: Andy Clark is a leading philosopher of cognitive science, whose work has had an extraordinary impact throughout philosophy, psychology, neuroscience, and robotics. His monographs have led the way for new research programs in the philosophy of mind and cognition: Microcognition (1989) and Associative Engines (1993) introduced the philosophical community to connectionist research and the novel issues it raised; Being There (1997) showed the relevance of embodiment, dynamical systems theory, and minimal computation frameworks for the study of the mind; Natural Born Cyborgs (OUP 2003) presented an accessible development of embodied and embedded approaches to understanding human nature and cognition; Supersizing the Mind (OUP 2008) developed this yet further along with the famous "Extended Mind" hypothesis; and Surfing Uncertainty (OUP 2017) presents a framework for uniting perception, action, and the embodied mind. In Andy Clark and His Critics, a range of high-profile researchers in philosophy of mind, philosophy of cognitive science, and empirical cognitive science, critically engage with Clark's work across the themes of: Extended, Embodied, Embedded, Enactive, and Affective Minds; Natural Born Cyborgs; and Perception, Action, and Prediction. Daniel Dennett provides a foreword on the significance of Clark's work, and Clark replies to each section of the book, thus advancing current literature with original contributions that will form the basis for new discussions, debates and directions in the discipline.