Disordered Systems And Biological Models - Proceedings Of The Workshop

Disordered Systems And Biological Models - Proceedings Of The Workshop
Author: Luca Peliti
Publisher: World Scientific
Total Pages: 212
Release: 1989-05-01
Genre:
ISBN: 9814644137

This workshop brought together several distinguished researchers who represented different lines of research. The following were discussed: A general mathematical theory of the complexity of neural network models (seen as a particular case of automata networks), the relevance of automata networks to theoretical biology, the statistical mechanical approach to neural networks, multilayer and back-propagation models in artificial intelligence, the complexity of real neural networks, the relevance of ultrametricity (a concept arisen in spin glass theory), statistical mechanical models of the origin of life and a dynamical model exhibiting a new route to chaos.

Disordered Systems and Biological Organization

Disordered Systems and Biological Organization
Author: E. Bienenstock
Publisher: Springer Science & Business Media
Total Pages: 407
Release: 2012-12-06
Genre: Computers
ISBN: 3642826571

The NATO workshop on Disordered Systems and Biological Organization was attended, in march 1985, by 65 scientists representing a large variety of fields: Mathematics, Computer Science, Physics and Biology. It was the purpose of this interdisciplinary workshop to shed light on the conceptual connections existing between fields of research apparently as different as: automata theory, combinatorial optimization, spin glasses and modeling of biological systems, all of them concerned with the global organization of complex systems, locally interconnected. Common to many contributions to this volume is the underlying analogy between biological systems and spin glasses: they share the same properties of stability and diversity. This is the case for instance of primary sequences of biopo Iymers I ike proteins and nucleic acids considered as the result of mutation-selection processes [P. W. Anderson, 1983] or of evolving biological species [G. Weisbuch, 1984]. Some of the most striking aspects of our cognitive apparatus, involved In learning and recognttlon [J. Hopfield, 19821, can also be described in terms of stability and diversity in a suitable configuration space. These interpretations and preoccupations merge with those of theoretical biologists like S. Kauffman [1969] (genetic networks) and of mathematicians of automata theory: the dynamics of networks of automata can be interpreted in terms of organization of a system in multiple possible attractors. The present introduction outlInes the relationships between the contributions presented at the workshop and brIefly discusses each paper in its particular scientific context.

Neural Networks: From Biology To High Energy Physics - Proceedings Of The 2nd Workshop

Neural Networks: From Biology To High Energy Physics - Proceedings Of The 2nd Workshop
Author: Omar Benhar
Publisher: World Scientific
Total Pages: 358
Release: 1993-10-16
Genre:
ISBN: 9814553581

Neural network models, in addition to being of intrinsic theoretical interest, have also proved to be a useful framework in which issues in theoretical biology can be put into perspective. These issues include, amongst others, modelling the activity of the cortex and the study of protein folding. More recently, neural network models have been extensively investigated as tools for data analysis in high energy physics experiments. These workshop proceedings reflect the strongly interdisciplinary character of the field and provide an updated overview of recent developments.

Scientific and Technical Aerospace Reports

Scientific and Technical Aerospace Reports
Author:
Publisher:
Total Pages: 376
Release: 1995
Genre: Aeronautics
ISBN:

Lists citations with abstracts for aerospace related reports obtained from world wide sources and announces documents that have recently been entered into the NASA Scientific and Technical Information Database.

Vanadium in Biological Systems

Vanadium in Biological Systems
Author: N.D. Chasteen
Publisher: Springer Science & Business Media
Total Pages: 226
Release: 2012-12-06
Genre: Science
ISBN: 9400920237

Over the past several decades, vanadium has increasingly attracted the interest of biologists and chemists. The discovery by Henze in 1911 that certain marine ascidians accumulate the metal in their blood cells in unusually large quantities has done much to stimulate research on the role of vanadium in biology. In the intervening years, a large number of studies have been carried out to investigate the toxicity of vanadium in higher animals and to determine whether it is an essential trace element. That vanadium is a required element for a few selected organisms is now well established. Whether vanadium is essential for humans remains unclear although evidence increasingly suggests that it probably is. The discovery by Cantley in 1977 that vanadate is a potent inhibitor of ATPases lead to numerous studies of the inhibitory and stimulatory effects of vanadium on phosphate metabolizing enzymes. As a consequence vanadates are now routinely used as probes to investigate the mechanisms of such enzymes. Our understanding of vanadium in these systems has been further enhanced by the work of Tracy and Gresser which has shown striking parallels between the chemistry of vanadates and phosphates and their biological compounds. The observation by Shechter and Karlish, and Dubyak and Kleinzeller in 1980 that vanadate is an insulin mimetic agent has opened a new area of research dealing with the hormonal effects of vanadium. The first vanadium containing enzyme, a bromoperoxidase from the marine alga Ascophyllum nodosum, was isolated in 1984 by Viltner.

INNC 90 PARIS

INNC 90 PARIS
Author: The International Neural Society(INNS), The IEEE Neural
Publisher: Springer Science & Business Media
Total Pages: 569
Release: 2013-12-18
Genre: Computers
ISBN: 9400906439

Neural Networks have been the theater of a dramatic increase of activities in the last five years. The interest of mixing results from fields as different as neurobiology, physics (spin glass theory), mathematics (linear algebra, statistics ... ), computer science (software engineering, hardware architectures ... ) or psychology has attracted a large number of researchers to the field. The perspective of dramatic improvements in many applications has lead important companies to launch new neural network programs and start-ups have mushroomed to address this new market. Throughout the world large programs are being set-up: in Japan the government has committed more than $18 million per year to its 20 year Human Frontier Science program; the DARPA and the US Navy have alloted more than $10 million per year each and other US government agencies are contributing to important but less ambitious programs. Neural networks are also a major research are in the supercomputing initiative. Europe has from the beginning taken an active part in funding major projects in the new field with BRAIN, BRA, ANNIE and PYGMALION (Esprit). Approximately $20 million has been invested to date since 1988 and new programs of nearly $30 million are being funded for the next 3 years. National projects in certain countries may globally double these amounts. Neural network conferences are attracting larger audiences than ever before. Prior to 1987 attendance never surpassed 300. The June 1989 IJCNN conference in Washington had over 2200 participants.

Stochastic Modelling In Biology: Relevant Mathematical Concepts And Recent Applications

Stochastic Modelling In Biology: Relevant Mathematical Concepts And Recent Applications
Author: Tautu Petre
Publisher: #N/A
Total Pages: 456
Release: 1990-12-05
Genre:
ISBN: 9814611921

These proceedings focus on future prospects as well as on the present status in some important areas of applied probability and mathematical biology. Some papers have educational intentions regarding the mathematical modelling of special biological situations. The workshop was the third one in Heidelberg dealing with stochastic modelling in biology, e.g., cell biology, embryology, oncology, epidemiology and genetics.