[PDF] Biologically inspired approaches to advanced information technology : first international workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004 : revised selected papers - eBookmela

Biologically inspired approaches to advanced information technology : first international workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004 : revised selected papers

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Author: BioADIT 2004 (2004 : Lausanne, Switzerland), Ijspeert, Auke Jan, Murata, Masayuki, Wakamiya, Naoki, 1971-

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Biologically Inspired Approaches to Advanced Information Technology: First International Workshop, BioADIT 2004, Lausanne, Switzerland, January 29-30, 2004, Revised Selected Papers
Author: Auke Jan Ijspeert, Masayuki Murata, Naoki Wakamiy
Published by Springer Berlin Heidelberg
ISBN: 978-3-540-23339-8
DOI: 10.1007/b101281

Table of Contents:

  • Object-Oriented Specification of Complex Bio-computing Processes: A Case Study of a Network of Proteolytic Enzymes
  • Analysis of Responses of Complex Bionetworks to Changes in Environmental Conditions
  • Experimental Molecular Evolution Showing Flexibility of Fitness Leading to Coexistence and Diversification in Biological System
  • Echo State Networks and Self-Prediction
  • Learning Bayesian Networks by Lamarckian Genetic Algorithm and Its Application to Yeast Cell-Cycle Gene Network Reconstruction from Time-Series Microarray Data
  • Towards Cortex Sized Attractor ANN
  • Biologically Inspired Reinforcement Learning: Reward-Based Decomposition for Multi-goal Environments
  • Dynamic Self-Assembly and Computation: From Biological to Information Systems
  • Implementation and Evaluation of a System to Support Human Relationship Formation in Networked Virtual Space
  • Biologically Plausible Speech Recognition with LSTM Neural Nets
  • Spatial Tangible User Interfaces for Cognitive Assessment and Training
  • Biologically Inspired Computer Virus Detection System
  • Explaining Low-Level Brightness-Contrast Illusions Using Disinhibition
  • Autonomous Acquisition of the Meaning of Sensory States Through Sensory-Invariance Driven Action
  • Characterizing the Firing Properties of an Adaptive Analog VLSI Neuron
  • Embryonic Machines That Divide and Differentiate
  • Artificial Cellular Division by Self-Inspection
  • A Hardware Implementation of a Network of Functional Spiking Neurons with Hebbian Learning
  • A Study on Designing Robot Controllers by Using Reinforcement Learning with Evolutionary State Recruitment Strategy
  • Movement Generation and Control with Generic Neural Microcircuits

Includes bibliographical references and index

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