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Animal groups often display striking collective organization, which relies on social interactions. These interactions require neural substrates supporting the exchange of information among individuals and the processing of this information. The social brain hypothesis, suggested from neuroanatomical findings in primates, posits that increasing levels of sociality involve a higher investment in neural tissue to cope with social information. However, distributed cognition and swarm intelligence might alleviate the cognitive load on the individuals, and potentially reduce their neural requirements. Research on social insects, which are an exemplar of collective action, has so far produced mixed...
The book is a sequel of a similar book, edited by Randolf Menzel and Alison Mercer, “Neurobiology and Behavior of Honeybees”, published in 1987. It is a “Festschrift” for the 70th birthday of Randolf Menzel, who devoted his life to the topic of the book. The book will include an open commentary for each section written by Randolf Menzel, and discussed with the authors. The written contributions take their inspiration from a symposium on the topic, with all the authors, that was held in Berlin in summer 2010
This thesis builds on recent innovations in multi-phase emulsion droplet design to demonstrate that emulsion morphologies enable a useful variety of dynamic optical phenomena. Despite the highly dynamic nature of fluid morphologies and their utility for stimuli-responsive, dynamic optical materials and devices, fluid matter is underrepresented in optical technology. Using bi-phase emulsion droplets as refractive micro-optical components, this thesis realizes micro-scale fluid compound lenses with optical properties that vary in response to changes in chemical concentrations, structured illumination, and thermal gradients. Theoretical considerations of emulsions as optical components are used...
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers...
This book constitutes the thoroughly refereed post proceedings of the international workshop Computer Vision Approaches to Medical Image Analysis, CVAMIA 2006, held in Graz, Austria in May 2006 as a satellite event of the 9th European Conference on Computer Vision, EECV 2006. The 10 revised full papers and 11 revised poster papers presented together with one invited talk were carefully reviewed and selected from 38 submissions.
Genomic Control Process explores the biological phenomena around genomic regulatory systems that control and shape animal development processes, and which determine the nature of evolutionary processes that affect body plan. Unifying and simplifying the descriptions of development and evolution by focusing on the causality in these processes, it provides a comprehensive method of considering genomic control across diverse biological processes. This book is essential for graduate researchers in genomics, systems biology and molecular biology seeking to understand deep biological processes which regulate the structure of animals during development. - Covers a vast area of current biological re...
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