Author: Martin GasselPublisher:
ISBN:
Category :
Languages : en
Pages : 104
Book Description
Influence of Noise, Variability, and Time-delayed Feedback on Spatially Extended Systems
Author: Martin GasselVariability in Human Performance
Author: Thomas J. SmithPublisher: CRC Press
ISBN: 1466579722
Category : Technology & Engineering
Languages : en
Pages : 384
Book Description
Understanding the conditions under which variability in performance may arise, and the processes related to its emergence, gives us insight into the development of techniques for improving the quality of performance. Variability in Human Performance details the scientific and the practical implications of human performance variability by providing
Neuronal Stochastic Variability: Influences on Spiking Dynamics and Network Activity
Author: Mark D. McDonnellPublisher: Frontiers Media SA
ISBN: 2889198847
Category : Neurosciences. Biological psychiatry. Neuropsychiatry
Languages : en
Pages : 158
Book Description
Stochastic fluctuations are intrinsic to and unavoidable at every stage of neural dynamics. For example, ion channels undergo random conformational changes, neurotransmitter release at synapses is discrete and probabilistic, and neural networks are embedded in spontaneous background activity. The mathematical and computational tool sets contributing to our understanding of stochastic neural dynamics have expanded rapidly in recent years. New theories have emerged detailing the dynamics and computational power of the balanced state in recurrent networks. At the cellular level, novel stochastic extensions to the classical Hodgkin-Huxley model have enlarged our understanding of neuronal dynamics and action potential initiation. Analytical methods have been developed that allow for the calculation of the firing statistics of simplified phenomenological integrate-and-fire models, taking into account adaptation currents or temporal correlations of the noise. This Research Topic is focused on identified physiological/internal noise sources and mechanisms. By "internal", we mean variability that is generated by intrinsic biophysical processes. This includes noise at a range of scales, from ion channels to synapses to neurons to networks. The contributions in this Research Topic introduce innovative mathematical analysis and/or computational methods that relate to empirical measures of neural activity and illuminate the functional role of intrinsic noise in the brain.
Applied Mechanics Reviews
Author: Processes with Long-Range Correlations
Author: Govindan RangarajanPublisher: Springer
ISBN: 3540448322
Category : Medical
Languages : en
Pages : 406
Book Description
Processes with long range correlations occur in a wide variety of fields ranging from physics and biology to economics and finance. This book, suitable for both graduate students and specialists, brings the reader up to date on this rapidly developing field. A distinguished group of experts have been brought together to provide a comprehensive and well-balanced account of basic notions and recent developments. The book is divided into two parts. The first part deals with theoretical developments in the area. The second part comprises chapters dealing primarily with three major areas of application: anomalous diffusion, economics and finance, and biology (especially neuroscience).
New Frontiers of Network Analysis in Systems Biology
Author: Avi Ma'ayanPublisher: Springer Science & Business Media
ISBN: 9400743300
Category : Medical
Languages : en
Pages : 204
Book Description
The rapidly developing field of systems biology is influencing many aspects of biological research and is expected to transform biomedicine. Some emerging offshoots and specialized branches in systems biology are receiving particular attention and are becoming highly active areas of research. This collection of invited reviews describes some of the latest cutting-edge experimental and computational advances in these emerging sub-fields of systems biology. In particular, this collection focuses on the study of mammalian embryonic stem cells; new technologies involving mass-spectrometry proteomics; single cell measurements; methods for modeling complex stochastic systems; network-based classification algorithms; and the revolutionary emerging field of systems pharmacology.
Progress in Mathematical Ecology
Author: Sergei PetrovskiiPublisher: MDPI
ISBN: 3038973122
Category : Electronic books
Languages : en
Pages : 215
Book Description
This book is a printed edition of the Special Issue "Progress in Mathematical Ecology" that was published in Mathematics
Scientific and Technical Aerospace Reports
Author: ICANN ’93
Author: Stan GielenPublisher: Springer Science & Business Media
ISBN: 1447120639
Category : Computers
Languages : en
Pages : 1116
Book Description
This book contains the proceedings of the International Confer ence on Artificial Neural Networks which was held between September 13 and 16 in Amsterdam. It is the third in a series which started two years ago in Helsinki and which last year took place in Brighton. Thanks to the European Neural Network Society, ICANN has emerged as the leading conference on neural networks in Europe. Neural networks is a field of research which has enjoyed a rapid expansion and great popularity in both the academic and industrial research communities. The field is motivated by the commonly held belief that applications in the fields of artificial intelligence and robotics will benefit from a good understanding of the neural information processing properties that underlie human intelligence. Essential aspects of neural information processing are highly parallel execution of com putation, integration of memory and process, and robustness against fluctuations. It is believed that intelligent skills, such as perception, motion and cognition, can be easier realized in neuro-computers than in a conventional computing paradigm. This requires active research in neurobiology to extract com putational principles from experimental neurobiological find ings, in physics and mathematics to study the relation between architecture and function in neural networks, and in cognitive science to study higher brain functions, such as language and reasoning. Neural networks technology has already lead to practical methods that solve real problems in a wide area of industrial applications. The clusters on robotics and applications contain sessions on various sub-topics in these fields.
Author: