Evolutionary Dynamics and Information Hierarchies in Biological Systems : Aspen Center for Physics Workshop (Annals of the New York Academy of Science

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Evolutionary Dynamics and Information Hierarchies in Biological Systems : Aspen Center for Physics Workshop (Annals of the New York Academy of Science

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  • 製本 Paperback:紙装版/ペーパーバック版/ページ数 93 p.
  • 言語 ENG
  • 商品コード 9781573319065
  • DDC分類 576

Full Description

Evolutionary Dynamics and Information Hierarchies in Biological Systems: Aspen Center for Physics Workshop. Organisms use a variety of mechanisms to store, interpret, and use information that is organized in a large and complex hierarchy from DNA sequences, to chromatin regulation, to intra/extracellular signaling, to tissue/organ organization, to the interactions between organisms and species. This Annals volume presents individual papers and a summarizing meeting report stemming from a workshop at the Aspen Center for Physics in Aspen, Colorado, organized to discuss these issues. The three themed weeks of the workshop focused on the organization of DNA into chromatin, epigenetic adaptation and host/pathogen interaction, and macroevolution. Although these areas represent a wide breadth of biological phenomena, several unifying themes emerged through workshop discussions. In particular, the differences between the simplicity of our theoretical models and the complex interactions characteristic of real physical systems were repeatedly highlighted. Workshop discussions therefore pointed to key areas where theory and observations should aim to converge as we refine our understanding of evolution.

Contents

Evolutionary dynamics and information hierarchies in biological systems: Aspen Center for Physics Workshop Evolutionary dynamics and information hierarchies in biological systems

In Darwinian evolution, feedback from natural selection leads to biased mutations

Establishing epigenetic domains via chromatin-bound histone modifiers

The molecular basis for the development of neural maps

Cracking the neural code: third annual Aspen Brain Forum

In vivo robotics: the automation of neuroscience and other intact-system biological fields

Vision: are models of object recognition catching up with the brain?

Long-range connectomics

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