- Wlodzimierz Klonowski, Polish Academy of Sciences
- Aneta Stefanovska, University of Lancaster
- Jack Tuszynski, University of Alberta
- Marc-Thorsten Huett, Jacobs University
- Viktor Jirsa, University of Aix-Marseille
Open Thematic Series
Incorporating the spatiotemporal organization of biological systems is a major challenge for Systems Biology. At the same time, such patterns, arising from the local interactions of the system's constituents, are an important mode of organization in biology. Spatiotemporal patterns form within single cells or in a population of cells according to the intrinsic laws of protein-protein interactions, intracellular feedback loops and (on the multicellular level) cell-cell communication. The patterns change systematically with the parameters of regulation. For Systems Biology, these patterns can thus serve as a 'microscope' for underlying forms of regulation.
Advances in Neural Population Models and Their Networks
Neural population models NPMs - also known as neural mass models, mean field models or neural field models - describe the overall behavior of large ensembles of neurons and are particularly suitable for describing non-invasive neuro-imaging data. NPMs are also becoming the method of choice for modeling partial or even full brain networks. This thematic series collects works advancing the current state-of-the-art of the theoretical analysis and practical applications of NPMs and their networks.
This thematic series, with the section Editorial Board for Interdisciplinary Topics as guest editors, aims at bringing together Clinical Neuroscientists, Neurologists, Engineers, and Physicists and invite them to contribute with original research articles as well as reviews on the potential of nonlinear methods of signal and image analysis in Medicine and in Biomedical Engineering. Biomedically inspired applications of nonlinear signal and image analysis methods in related disciplines are also welcome.
EPJ Nonlinear Biomedical Physics is a from-scratch relaunch of Nonlinear Biomedical Physics , founded in 2007 by Wlodzimierz Klonowski to further promote the field of quantitative biomedical complexity science.
EPJ is a rapidly growing series of internationally reputed, peer-reviewed journals that are indexed in all major citation databases. The editorial boards of the EPJ are composed of leading specialists in their respective fields and have made it their mission to uphold the highest standards of scientific quality in the journals. EPJ started in the late 1990s as a merger and co-publication of Zeitschrift für Physik (Springer), Journal de Physique (EDP Sciences) and Il Nuovo Cimento (Società Italiana di Fisica) covering all aspects of the pure and applied physical sciences. Its spectrum has since expanded to encompass many interdisciplinary topics, including complexity and data sciences.
SpringerOpen is Springer’s new suite of open access journals which will cover all disciplines. SpringerOpen journals are fully and immediately open access and will publish articles under the Creative Commons Attribution license. This makes it easy for authors to fully comply with open access mandates and retain copyright. SpringerOpen journals combine open access and our expertise in delivering high-quality and rapid publications, from online submission systems and in-depth peer review to an efficient, author-friendly production process.
Aims & scope
EPJ Nonlinear Biomedical Physics is a peer-reviewed, open access journal for the dissemination of knowledge about the applications of nonlinear dynamics and complexity-inspired integrative systems science, to the quantitative modeling and understanding of how structure, function and/or dysfunctions and diseases, often concomitantly, emerge in complex biomedical matter, systems and processes. The focus will be on the application-driven development of theoretical, experimental and computational techniques. This includes the development of relevant methodologies, instrumentation, and related advanced technology.
EPJ Nonlinear Biomedical Physics publishes in sections based on subject area. Authors may choose at submission one of the following sections:
This section is devoted to the exploration of a number of relevant topics including but not limited to psychophysics, fractals in medicine, methods of physical therapy, structure-function relationships, network topology, dynamics of anesthesia, nonlinear signal and image analysis, anatomopathology and virtual patient simulations.
Section Editor-in-Chief and Founding Editor: Wlodzimierz Klonowski, Polish Academy of Sciences
Physics of Biological Systems and Their Interactions
This section is concerned with the fundamental physical principles that govern functional units of living systems (such as organs and organ systems) at intermediate and macroscopic scales. Emphasis is on the investigation of biological transport systems and networks (such as e.g. the cardiovascular system) and their couplings to similar or other type of functional units (e.g. biological information processing systems). In contrast to the goal of efficient mathematical modelling in systems biology, the focus of this section is on the search for basic principles and operating mechanisms.
Section Editor-in-Chief: Aneta Stefanovska, University of Lancaster
Physics of Cancer and Oncology
Cancer research is a multidisciplinary effort in which physical methods and concepts have been playing an increasingly prominent role. In this section all aspects of experimental, computational and theoretical physics with applications to cancer research and oncology in general will be given a forum for the dissemination of latest results. Areas of research of particular interest include: quantitative models of tumor initiation and progression, mechanical and electrical properties of cancer cells, ionizing radiation effects on sub-cellular structures, nanotechnology applications in oncology, tumor imaging techniques, pharmacokinetics of chemotherapeutic agents, models of metabolic and genomic instabilities, evolutionary models of cancer.
Section Editor-in-Chief: Jack Tuszynski, University of Alberta
Systems Biology and Dynamical Diseases
In this section, methods and results from systems biology, their underlying physical principles and their potential medical applications are explored. Relevant topics include (but are not limited to) the analysis of system-wide data, modeling strategies in systems biology, metabolic diseases, mathematical models of biological systems or of disease dynamics, physical insights into biological systems or into disease dynamics, methods from nonlinear dynamics applied to topics in systems biology.
Section Editor-in-Chief: Marc-Thorsten Hütt, Jacobs University Bremen
Systems Neurosciences and Integrative Brain Research
The section is devoted to the development, exploration and application of integrative concepts in systems neuroscience and nonlinear brain dynamics. Its scope ranges from theoretical, experimental, informatics to methodological research.
Section Editor-in-Chief: Viktor Jirsa, University of Aix-Marseille
Advances in Neural Population Models and Their Networks
Edited by: Prof Ingo Bojak, Dr Sid Visser, Stephan van Gils
Published: 6 March 2014
Last updated: 12 May 2014
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