๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Neutral Models in Biology

โœ Scribed by Matthew H. Nitecki, Antoni Hoffman


Publisher
Oxford University Press
Year
1987
Tongue
English
Leaves
177
Category
Library

โฌ‡  Acquire This Volume

No coin nor oath required. For personal study only.

โœฆ Synopsis


Neutral models are constructed to help scientists understand complex patterns of form, structure, or behavior that may not be observed directly. In this unique volume, eight distinguished scientists present a comprehensive study of the use of neutral models in testing biological theories. They describe the principles of model testing and explore how they are applied to research in molecular biology, genetics, ecology, evolution, and paleontology. In addition to the editors, the contributors include Stephen Stigler, David Raup, Paul Harvey, L.B. Slobodkin, Stuart Kauffman, William Wimsatt, and James Crow.

โœฆ Table of Contents


Contents......Page 10
Contributors......Page 11
Introduction: Neutral Models as a Biological Research Strategy......Page 14
I. MOLECULAR AND GENETIC MODELS......Page 20
1. Neutral Models in Molecular Evolution......Page 22
2. False Models as Means to Truer Theories......Page 34
3. Self-Organization, Selective Adaptation, and Its Limits: A New Pattern of Inference in Evolution and Development......Page 67
II. ECOLOGICAL MODELS......Page 102
4. How to Be Objective in Community Studies......Page 104
5. On the Use of Null Hypotheses in Biogeography......Page 120
III. PALEONTOLOGICAL MODELS......Page 130
6. Neutral Models in Paleobiology......Page 132
7. Neutral Model of Taxonomic Diversification in the Phanerozoic: A Methodological Discussion......Page 144
8. Testing Hypotheses or Fitting Models? Another Look at Mass Extinctions......Page 158
C......Page 171
F......Page 172
I......Page 173
M......Page 174
R......Page 175
T......Page 176
Z......Page 177


๐Ÿ“œ SIMILAR VOLUMES


Central Auditory Processing and Neural M
โœ Josef Syka, Jiri Popelรกล™, Eugen Kvaลกลˆรกk (auth.), Paul W. F. Poon, John F. Brugge ๐Ÿ“‚ Library ๐Ÿ“… 1998 ๐Ÿ› Springer US ๐ŸŒ English

<p>The full power of combining experiment and theory has yet to be unleashed on studies of the neural mechanisms in the brain involved in acoustic information processing. In recent years, enormous amounts of physiological data have been generated in many laboratories around the world, characterizing

Plausible Neural Networks for Biological
โœ J. E. Vos (auth.), Henk A. K. Mastebroek, Johan E. Vos (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Springer Netherlands ๐ŸŒ English

<p>The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification,

Neutrons in Biology
โœ R. B. Knott, B. P. Schoenborn (auth.), Benno P. Schoenborn, Robert B. Knott (eds ๐Ÿ“‚ Library ๐Ÿ“… 1996 ๐Ÿ› Springer US ๐ŸŒ English

<p>This compendium presents some of the major applications of neutron scattering techniques to problems in biology. It is a record of the papers presented at the Neutrons in Biology Conference, the third in an occasional series held to highlight progress in the field and to provide a focus for futur

Neutrons in Biology
โœ Frederic M. Richards (auth.), Benno P. Schoenborn (eds.) ๐Ÿ“‚ Library ๐Ÿ“… 1984 ๐Ÿ› Springer US ๐ŸŒ English
Stochastic models in biology
โœ N.S. Goel, Nira Richter-Dyn ๐Ÿ“‚ Library ๐Ÿ“… 1975 ๐Ÿ› Academic Press Inc ๐ŸŒ English

This monograph, first published in 1974, is an attempt to demonstrate the usefulness of the theory of stochastic processes in understanding biologic phenomena at various levels of complexity ะฒะ‚โ€œ from the molecular to the ecologic level. The modeling of biologic systems via stochastic processes allow