Pattern Formation in the Physical and Biological Sciences by H. Frederick Nijhout, Lynn Nadel, Visit Amazon's Daniel L.

By H. Frederick Nijhout, Lynn Nadel, Visit Amazon's Daniel L. Stein Page, search results, Learn about Author Central, Daniel L. Stein, , EDITOR *

This Lecture Notes quantity represents the 1st time any of the summer season tuition lectures were gathered and released on a discrete topic instead of grouping all of a season's lectures jointly. This quantity offers a extensive survey of present inspiration at the challenge of trend formation. Spanning six years of summer season institution lectures, it contains articles which research the beginning and evolution of spatial styles in physio-chemical and organic platforms from a superb variety of theoretical and mechanistic views. additionally, almost all these items were up to date via their authors and 3 articles by no means formerly released were added.

Show description

Read or Download Pattern Formation in the Physical and Biological Sciences (Santa Fe Institute Studies in the Sciences of Complexity, Lecture Notes, Vol 5) PDF

Similar system theory books

Synergetics: an introduction

This publication is an often-requested reprint of 2 vintage texts via H. Haken: "Synergetics. An advent" and "Advanced Synergetics". Synergetics, an interdisciplinary study application initiated via H. Haken in 1969, bargains with the systematic and methodological method of the quickly transforming into box of complexity.

Robust Design: A Repertoire of Biological, Ecological, and Engineering Case Studies (Santa Fe Institute Studies on the Sciences of Complexity)

Strong layout brings jointly sixteen chapters via an eminent workforce of authors in quite a lot of fields providing elements of robustness in organic, ecological, and computational platforms. The volme is the 1st to deal with robustness in organic, ecological, and computational platforms. it truly is an outgrowth of a brand new study software on robustness on the Sante Fe Institute based through the David and Lucile Packard beginning.

Self-organized biological dynamics & nonlinear control

The starting to be effect of nonlinear technological know-how on biology and drugs is essentially altering our view of residing organisms and affliction methods. This booklet introduces the applying to biomedicine of a vast diversity of innovations from nonlinear dynamics, equivalent to self-organization, complexity, coherence, stochastic resonance, fractals, and chaos.

Semi-Autonomous Networks: Effective Control of Networked Systems through Protocols, Design, and Modeling

This thesis analyzes and explores the layout of managed networked dynamic structures - dubbed semi-autonomous networks. The paintings ways the matter of potent keep an eye on of semi-autonomous networks from 3 fronts: protocols that are run on person brokers within the community; the community interconnection topology layout; and effective modeling of those frequently large-scale networks.

Extra resources for Pattern Formation in the Physical and Biological Sciences (Santa Fe Institute Studies in the Sciences of Complexity, Lecture Notes, Vol 5)

Sample text

The retino-tectal projection, 7 had been studied earlier by Willshaw and von der Malsburg, 3 6 Takeuchi and Amari, 3 4 and others. 26 L. H. Finkel The model uses a form of unsupervised learning that consists of normalized synaptic modifications. Input connections are modified in such a way that on each iteration, the synaptic weight vector is slightly rotated toward the input vector. It is shown in several simulations of two-dimensional maps, that starting from a random initial condition, after several thousand iterations of the adaptive process, a global topographic organization emerges.

To a population of N ten-neuron-wide arrays, each of which typically contains six layers, we now present these strings, with a persistence time of at least five units, and in random order. , NAMPl), S3S1 (NAMP2), S2S3 (NAMP3), or S3S2 (NAMP4), these neurons will be as close to zero activity as possible. In a sense, we are thus asking for a "neuron assembly"3 which fires specifically when detecting amplitude invariance (AMP). Programming the array a priori to perform this is not easy. All we have to do here is assign to each machine, upon completion of the test, a grade; the closer the machine comes to achieving the goal, the higher its grade: this can be, for instance, the sum of output values delivered after AMP minus the sum of outputs after NAMP, properly normalized.

USA) 83 (1986): 1695-1698. This page intentionally left blank Leif H. Finkel Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104-6392 Limiting Assumptions in Models of Somatotopic Map Organization This chapter originally appeared in 1990 Lectures in Complex Systems, edited by L. Nadel and D. Stein, 269-284. Santa Fe Institute Studies in the Sciences of Complexity, Lect. Vol. III. Reading, MA: Addison-Wesley, 1991. Reprinted by permission. Several recent computational models of somatotopic map organization are reviewed.

Download PDF sample

Rated 4.32 of 5 – based on 13 votes