Modelling Perception With Artificial Neural Networks
ISBN: 9780521763950 | 0521763959
Edition: 1stFormat: Hardcover
Publisher: Cambridge University Press
Pub. Date: 7/26/2010
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A complete survey of neural network models, with an introduction to the theme of the book for those new to the field along with methodological issues and suggestions for potential research areas for specialists. Includes contributions from experts in the field.
Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of ne... MORE
Studies of the evolution of animal signals and sensory behaviour have more recently shifted from considering 'extrinsic' (environmental) determinants to 'intrinsic' (physiological) ones. The drive behind this change has been the increasing availability of ne... MORE
| Introduction. Modelling perception with artificial neural networks | |
| General Themes | |
| Neural networks for perceptual processing: from simulation tools to theories | |
| Sensory ecology and perceptual allocation: new prospects for neural networks | |
| The Use of Artificial Neural Networks to Elucidate the Nature of Perceptual Processes in Animals | |
| Correlation versus gradient type motion detectors: the pros and cons | ... MORE|
| Spatial constancy and the brain: insights from neural networks | |
| The interplay of Pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat | |
| Evolution, (sequential) learning and generalization in modular and nonmodular visual neural networks | |
| Effects of network structure on associative memory | |
| Neural networks and neuro-oncology | |
| Artificial Neural Networks as Models of Perceptual Processing in Ecology and Evolutionary Biology | |
| Evolutionary diversification of mating behaviour: using artificial neural networks to study reproductive character displacement and speciation | |
| Applying artificial neural networks to the study of prey coloration | |
| Artificial neural networks in models of specialization, guild evolution and sympatric speciation | |
| Probabilistic design principles for robust multimodal communication networks | |
| Movement-based signalling and the physical world: modelling the changing perceptual task for receivers | |
| Methodological Issues in the Use of Simple Feedforward Networks | |
| How training and testing histories affect generalization: a test of simple neural networks | |
| The need for stochastic replication of ecological neural networks | |
| Methodological issues in modelling ecological learning with neural networks | |
| Neural network evolution and artificial life research | |
| Current velocity shapes the functional connectivity of benthiscapes to stream insect movement | |
| A model biological neural network: the cephalopod vestibular system | |
| Table of Contents provided by Publisher. All Rights Reserved. |
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