Information Processing by Biochemical Systems

This authoritative reference: Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain Describes novel scientific achievements, and serves as an aid for those interested ...

Information Processing by Biochemical Systems

A Research-Driven Resource on Building Biochemical Systems to Perform Information Processing Functions Information Processing by Biochemical Systems describes fully delineated biochemical systems, organized as neural network–type assemblies. It explains the relationship between these two apparently unrelated fields, revealing how biochemical systems have the advantage of using the "language" of the physiological processes and, therefore, can be organized into the neural network–type assemblies, much in the way that natural biosystems are. A wealth of information is included concerning both the experimental aspects (such as materials and equipment used) and the computational procedures involved. This authoritative reference: Addresses network-type connectivity, considered to be a key feature underlying the information processing ability of the brain Describes novel scientific achievements, and serves as an aid for those interested in further developing biochemical systems that will perform information-processing functions Provides a viable approach for furthering progress in the area of molecular electronics and biocomputing Includes results obtained in experimental studies involving a variety of real enzyme systems Information Processing by Biochemical Systems is intended for graduate students and professionals, as well as biotechnologists.

Information Processing and Biological Systems

Stochastic Gene Expression and the Processing and Propagation of Noisy
Signals in Genetic Networks Daniel A. Charlebois1,2, Theodore J. Perkins3,4,
and Mads Kaern1,2,5 1 Ottawa Institute of Systems Biology, University of Ottawa,
451 ...

Information Processing and Biological Systems

Living beings require constant information processing for survival. In cells, information is being processed and propagated at various levels, from the gene regulatory network to chemical pathways, to the interaction with the environment. How this is achieved and how information is coded is still poorly understood. For example, what a cell interprets as information in the temporal level of an mRNA and what is interpreted as noise remains an open question. Recently, information theoretical methods and other tools, developed in the context of engineering and natural sciences, have been applied to study diverse biological processes. This book covers the latest findings on how information is processed in various biological processes, ranging from information processing and propagation in gene regulatory networks to information processing in natural language. An overview is presented of the state-of-the-art in information processing in biological systems and the opinion of current leaders in this research field on future research directions.

Computation in Cellular and Molecular Biological Systems

The book contains contributions from mathematicians, biochemists, cell biologists, physiologists and computer scientists.

Computation in Cellular and Molecular Biological Systems

Computation in Cellular and Molecular Biological Systems is a selection of papers presented at the First International Workshop on Information Processing in Cells and Tissues (IPCAT 95). The book contains contributions from mathematicians, biochemists, cell biologists, physiologists and computer scientists. It is multidisciplinary in nature and deals with integrative aspects of information processing, cellular systems and dynamical methods. Contents:IntroductionInformation Processing and Signalling ProcessesInformation Processing and Cellular SystemsDynamical Models of Cellular Systems and Information Processing Readership: Mathematicians, biochemists, cell biologists, physiologists and computational scientists. keywords:Information Processing;Cells;Tissues;Computation;Cellular;Molecular Biological Systems;Physiology

Advances in Neural Information Processing Systems 17

In this work , we propose a simple biochemical system whose architecture mimics
that of genetic regulation and whose components allow for in vitro
implementation of arbitrary circuits . We use only two enzymes in addition to DNA
and RNA ...

Advances in Neural Information Processing Systems 17

The annual Neural Information Processing Systems (NIPS) conference is the flagshipmeeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists,mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary,with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging,vision, speech and signal processing, reinforcement learning and control, emerging technologies, andapplications. Only twenty-five percent of the papers submitted are accepted for presentation atNIPS, so the quality is exceptionally high. This volume contains the papers presented at theDecember, 2004 conference, held in Vancouver.

Advances in Neural Information Processing Systems 13

The annual conference on Neural Information Processing Systems (NIPS) is the flagshipconference on neural computation.

Advances in Neural Information Processing Systems 13

The annual conference on Neural Information Processing Systems (NIPS) is the flagshipconference on neural computation. The conference is interdisciplinary, with contributions inalgorithms, learning theory, cognitive science, neuroscience, vision, speech and signal processing,reinforcement learning and control, implementations, and diverse applications. Only about 30 percentof the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high.These proceedings contain all of the papers that were presented at the 2000 conference.

Energy Research Abstracts

Fox , S.W. ( University of Miami Coral Gables , FL ) . pp 69-91 of Information
processing in biological systems . Miutz , S.L .; Perlmutter , A. New York , NY ;
Plenum Press ( 1985 ) . ( CONF - 830134— ) . From Orbis scientiae conference ;
Miami ...

Energy Research Abstracts


Energy and Information Transfer in Biological Systems

SEARCH FOR QUANTUM AND CLASSICAL MODES OF INFORMATION
PROCESSING IN MICROTUBULES : IMPLICATIONS FOR “ THE LIVING STATE ”
STUART HAMEROFF Department of Anesthesiology University of Arizona Health
 ...

Energy and Information Transfer in Biological Systems

This volume contains papers based on the workshop OC Energy and Information Transfer in Biological Systems: How Physics Could Enrich Biological UnderstandingOCO, held in Italy in 2002. The meeting was a forum aimed at evaluating the potential and outlooks of a modern physics approach to understanding and describing biological processes, especially regarding the transition from the microscopic chemical scenario to the macroscopic functional configurations of living matter. In this frame some leading researchers presented and discussed several basic topics, such as the photon interaction with biological systems also from the viewpoint of photon information processes and of possible applications; the influence of electromagnetic fields on the self-organization of biosystems including the nonlinear mechanism for energy transfer and storage; and the influence of the structure of water on the properties of biological matter."

Advances in Personality Psychology

Thus far the emphasis was on social information-processing models. The focus of
this chapter is the identification and testing of biological systems on which social
information processing is based. As Zuckerman (1993) argued, most previous ...

Advances in Personality Psychology

The second volume in the Advances in Personality Psychology series, this book presents an authoritative collection of works by leading experts in the field. It focuses on three of the major issues in personality psychology: personality, affect and arousal; personality and intelligence; and personality structure. The first part of the book seeks to analyse cognitive biases dependent on anxiety and the biological foundations of thought and action. It also looks at the influence of temperamental traits on reaction to traumatic events. In the second part, contributions consider the mutual relations between personality and intelligence, the similarities and differences between personality and intelligence, and the cognitive mechanisms of human intelligence and personality. The final part analyses personality structure across cultures and presents a model of personality relevant to situational descriptions. All the authors are experienced and renowned experts in the field of personality psychology. The volume incorporates critical reviews, bringing the reader up-to-date with key issues, and unique data from contemporary empirical research projects, reflecting the diversity and vigour of current work on personality psychology.

Human Information Processing

BIOCHEMICAL RESPONSES TO STRESS The development of ulcers and other
gastric disorders is only one of a large ... Should the resistance phase be
unsuccessful in counteracting the stressing agent, the biochemical system finally
gives ...

Human Information Processing

Human Information Processing: An Introduction to Psychology aims to convey the excitement of modern experimental psychology to the beginning student. The book discusses the organization of auditory perceptions; neural information processing; and the theories of pattern recognition. The text also describes the visual system; the dimensions of vision; the auditory system; and the dimensions of sound. The neural basis of memory; transient memories; the structure of memory; and memory processes are also considered. The book further tackles language acquisition; the process of learning and cognitive development; problem solving; and decision making. The text also looks into motivation and the biochemical responses to stress. Psychologists and students taking psychology and related courses will find the book useful."

Information Processing in Cells and Tissues

The 9th International Conference on Information Processing in Cells and Tissues
took place from March 31 to April 2, 2012 at ... This includes those using
computational models and methods to understand biological systems, those
developing ...

Information Processing in Cells and Tissues

This book constitutes the refereed proceedings of the 9th International Conference on Information in Cells and Tissues, IPCAT 2012, held in Cambridge, UK, in March/April 2012. The 13 revised full papers presented together with 26 extended abstracts were carefully reviewed and selected from numerous submissions. The papers cover a wide range of topics in disciplines related to genetic and epigenetic networks, transcriptomics and gene regulation, signalling pathways and responses, protein structure and metabolic networks, patterning and rhythm generation, neural modelling and neural networks, biomedical modelling and signal processing, information processing and representation, and algorithmic approaches in computational biology.

Information Processing and Living Systems

The two-level macroscopic- microscopic (M-m) scheme of biological information
processing, originally proposed by Conrad, serves as a convenient frame of
reference. Two additional levels are added. Thus, four levels of processing
dynamics ...

Information Processing and Living Systems

Information processing and information flow occur in the course of an organism's development and throughout its lifespan. Organisms do not exist in isolation, but interact with each other constantly within a complex ecosystem. The relationships between organisms, such as those between prey or predator, host and parasite, and between mating partners, are complex and multidimensional. In all cases, there is constant communication and information flow at many levels.This book focuses on information processing by life forms and the use of information technology in understanding them. Readers are first given a comprehensive overview of biocomputing before navigating the complex terrain of natural processing of biological information using physiological and analogous computing models. The remainder of the book deals with "artificial" processing of biological information as a human endeavor in order to derive new knowledge and gain insight into life forms and their functioning. Specific innovative applications and tools for biological discovery are provided as the link and complement to biocomputing.Since "artificial" processing of biological information is complementary to natural processing, a better understanding of the former helps us improve the latter. Consequently, readers are exposed to both domains and, when dealing with biological problems of their interest, will be better equipped to grasp relevant ideas.

Neural Information Processing

In almost all biological systems including genetic networks, the complex
simultaneous interactions occurring amongst different organelles within a cell are
both - instantaneous and time-delayed. Among the various modeling approaches
, ...

Neural Information Processing

The three volume set LNCS 8226, LNCS 8227 and LNCS 8228 constitutes the proceedings of the 20th International Conference on Neural Information Processing, ICONIP 2013, held in Daegu, Korea, in November 2013. The 180 full and 75 poster papers presented together with 4 extended abstracts were carefully reviewed and selected from numerous submissions. These papers cover all major topics of theoretical research, empirical study and applications of neural information processing research. The specific topics covered are as follows: cognitive science and artificial intelligence; learning theory, algorithms and architectures; computational neuroscience and brain imaging; vision, speech and signal processing; control, robotics and hardware technologies and novel approaches and applications.

Biomolecular Information Processing

From Logic Systems to Smart Sensors and Actuators Evgeny Katz ... The other
direction is not aiming at any complex computation but rather creating a “smart”
information processing interface between biological and electronic systems,
which ...

Biomolecular Information Processing

Edited by a renowned and much cited chemist, this book covers the whole span of molecular computers that are based on biomolecules. The contributions by all the major scientists in the field provide an excellent overview of the latest developments in this rapidly expanding area. A must-have for all researchers working on this very hot topic. Perfectly complements Molecular and Supramolecular Information Processing, also by Prof. Katz, and available as a two-volume set.

Molecular and Supramolecular Information Processing

Chapter 12 Approaches to Control of Noise in Chemical and Biochemical.
Information. and. Signal. Processing. Vladimir Privman We offer a review of
models and approaches for error control required to ... [1-4] and biomolecular [5-
12] systems that process information in a "digital” fashion, carrying out binary
gate functions, ...

Molecular and Supramolecular Information Processing

Edited by a renowned and much cited chemist, this book covers the whole span of molecular computers that are based on non-biological systems. The contributions by all the major scientists in the field provide an excellent overview of the latest developments in this rapidly expanding area. A must-have for all researchers working on this very hot topic. Perfectly complements Biomolecular Information Processing, also by Prof. Katz, and available as a two-volume set.

Bioinstrumentation and Biosensors

Information. Processing. in. Biological. Systems: From. Phototransduction. to.
Neural. Networks. H. OGMEN University of ... At the biochemical level,
mechanisms such as enzymatic gain modulation overcome optimizational
problems arising ...

Bioinstrumentation and Biosensors

This reference text consists of contributed chapters by specialists directly carrying out research and development in this emerging field which joins advanced microelectronics with modern biotechnology. Chapters present novel biotechnology-based microelectronic instruments, such as those used for de

Unconventional Computation and Natural Computation

The current biochemical information processing systems behave in a pre-
determined manner because all features are defined during the design phase. To
make such unconventional computing systems reusable and programmable for ...

Unconventional Computation and Natural Computation

This book constitutes the refereed proceedings of the 13th International Conference on Unconventional Computation and Natural Computation, UCNC 2014, held in London, ON, Canada, in July 2014. The 31 revised full papers were carefully reviewed and selected from 79 submissions. The papers cover a wide range of topics including among others molecular, quantum, optical and chaos computing as well as neural computation, evolutionary computation, swarm intelligence and computational neuroscience.

Advances in Neural Information Processing Systems 16

Only thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.

Advances in Neural Information Processing Systems 16

Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing (NIPS) conference is the flagship meeting on neural computation. It draws a diverse group of attendees -- physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The presentations are interdisciplinary, with contributions in algorithms, learning theory, cognitive science, neuroscience, brain imaging, vision, speech and signal processing, reinforcement learning and control, emerging technologies, and applications. Only thirty percent of the papers submitted are accepted for presentation at NIPS, so the quality is exceptionally high. This volume contains all the papers presented at the 2003 conference.

Biological Information Processing

... specific programs for simulating models of biological information processing ,
attention is directed to relatively elementary biological activities . The first section
considers three simulation systems for studying enzymatic control of biochemical
 ...

Biological Information Processing

A unified resource for the teaching of biological information processing and computer simulation. Up-to-date, it introduces the major information processing functions of selected biological systems and reviews how such functions have been studied by digital computer simulation.

Complex Systems Science in Biomedicine

On the other hand, information-processing networks, i.e., signal transduction and
gene regulatory networks, are full abstractions in that ... Another central property
of biological systems, such as a cell, is that they need to be stable, yet flexible.

Complex Systems Science in Biomedicine

Complex Systems Science in Biomedicine Thomas S. Deisboeck and J. Yasha Kresh Complex Systems Science in Biomedicine covers the emerging field of systems science involving the application of physics, mathematics, engineering and computational methods and techniques to the study of biomedicine including nonlinear dynamics at the molecular, cellular, multi-cellular tissue, and organismic level. With all chapters helmed by leading scientists in the field, Complex Systems Science in Biomedicine's goal is to offer its audience a timely compendium of the ongoing research directed to the understanding of biological processes as whole systems instead of as isolated component parts. In Parts I & II, Complex Systems Science in Biomedicine provides a general systems thinking perspective and presents some of the fundamental theoretical underpinnings of this rapidly emerging field. Part III then follows with a multi-scaled approach, spanning from the molecular to macroscopic level, exemplified by studying such diverse areas as molecular networks and developmental processes, the immune and nervous systems, the heart, cancer and multi-organ failure. The volume concludes with Part IV that addresses methods and techniques driven in design and development by this new understanding of biomedical science. Key Topics Include: • Historic Perspectives of General Systems Thinking • Fundamental Methods and Techniques for Studying Complex Dynamical Systems • Applications from Molecular Networks to Disease Processes • Enabling Technologies for Exploration of Systems in the Life Sciences Complex Systems Science in Biomedicine is essential reading for experimental, theoretical, and interdisciplinary scientists working in the biomedical research field interested in a comprehensive overview of this rapidly emerging field. About the Editors: Thomas S. Deisboeck is currently Assistant Professor of Radiology at Massachusetts General Hospital and Harvard Medical School in Boston. An expert in interdisciplinary cancer modeling, Dr. Deisboeck is Director of the Complex Biosystems Modeling Laboratory which is part of the Harvard-MIT Martinos Center for Biomedical Imaging. J. Yasha Kresh is currently Professor of Cardiothoracic Surgery and Research Director, Professor of Medicine and Director of Cardiovascular Biophysics at the Drexel University College of Medicine. An expert in dynamical systems, he holds appointments in the School of Biomedical Engineering and Health Systems, Dept. of Mechanical Engineering and Molecular Pathobiology Program. Prof. Kresh is Fellow of the American College of Cardiology, American Heart Association, Biomedical Engineering Society, American Institute for Medical and Biological Engineering.

Structured Biological Modelling

SBM deals with the problem of how to translate an immense amount of
experimental information about a certain biological system into a consistent
model that includes its main regulatory processes . Consequently , the central
question of SBM ...

Structured Biological Modelling

Structured Biological Modelling presents a straightforward introduction for computer-aided analysis, mathematical modelling, and simulation of cell biological systems. This unique guide brings together the physiological, structural, molecular biological, and theoretical aspects of the signal transduction network that regulates growth and proliferation in normal and tumor cells. It provides comprehensive survey of functional and theoretical features of intracellular signal processing and introduces the concept of cellular self-organization. Exemplified by oscillatory calcium waves, strategies for the design of computer experiments are presented that can assist or even substitute for time-consuming biological experiments. The presented minimal model for proliferation-associated signal transduction clearly shows the alterations of the cellular signal network involved in neoplastic growth. This book will be useful to cell and molecular biologists, oncologists, physiologists, theoretical biologists, computer scientists, and all other researchers and students studying functional aspects of cellular signaling.