Skip to content
Cart

Your Cart

×

You have 0 items in your cart.

Register Sign in Wishlist

Modelling Perception with Artificial Neural Networks

£103.00

K. Gurney, Steven M. Phelps, A. Borst, R. L. White III, L. H. Snyder, F. Mannella, M. Mirolli, G. Baldassarre, R. Calabretta, H. Oshima, T. Odagaki, L. Douw, C. J. Stam, M. Klein, J. J. Heimans, J. C. Reijneveld, K. S. Pfennig, M. J. Ryan, S. Merilaita, N. M. A. Holmgren, N. Norrstrom, W. M. Getz, D. C. Krakauer, J. Flack, N. Ay, R. A. Peters, S. Ghirlanda, M. Enquist, C. R. Tosh, G. D. Ruxton, D. W. Franks, D. Curran, C. O'Riordan, J. D. Olden, R. Williamson, A. Chrachri
View all contributors
  • Date Published: June 2010
  • availability: In stock
  • format: Hardback
  • isbn: 9780521763950

£ 103.00
Hardback

Add to cart Add to wishlist

Other available formats:
eBook


Looking for an inspection copy?

This title is not currently available on inspection

Description
Product filter button
Description
Contents
Resources
Courses
About the Authors
  • 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 neural network models. With contributions from experts in the field, this book provides a complete survey of artificial neural networks. The book opens with two broad, introductory level reviews on the themes of the book: neural networks as tools to explore the nature of perceptual mechanisms, and neural networks as models of perception in ecology and evolutionary biology. Later chapters expand on these themes and address important methodological issues when applying artificial neural networks to study perception. The final chapter provides perspective by introducing a neural processing system in a real animal. The book provides the foundations for implementing artificial neural networks, for those new to the field, along with identifying potential research areas for specialists.

    • Interdisciplinary approach making it relevant to various areas of computing science, biology and physiology
    • A clear guidance on implementation providing a foundation text for those new to artificial neural networks
    • Details of the most urgent research questions are highlighted at the ends of chapters, allowing those familiar with ANNs to identify relevant areas of application
    Read more

    Customer reviews

    Not yet reviewed

    Be the first to review

    Review was not posted due to profanity

    ×

    , create a review

    (If you're not , sign out)

    Please enter the right captcha value
    Please enter a star rating.
    Your review must be a minimum of 12 words.

    How do you rate this item?

    ×

    Product details

    • Date Published: June 2010
    • format: Hardback
    • isbn: 9780521763950
    • length: 408 pages
    • dimensions: 253 x 179 x 23 mm
    • weight: 0.94kg
    • contains: 78 b/w illus.
    • availability: In stock
  • Table of Contents

    Introduction. Modelling perception with artificial neural networks
    Part I. General Themes:
    1. Neural networks for perceptual processing: from simulation tools to theories K. Gurney
    2. Sensory ecology and perceptual allocation: new prospects for neural networks Steven M. Phelps
    Part II. The Use of Artificial Neural Networks to Elucidate the Nature of Perceptual Processes in Animals:
    3. Correlation versus gradient type motion detectors: the pros and cons A. Borst
    4. Spatial constancy and the brain: insights from neural networks R. L. White III and L. H. Snyder
    5. The interplay of Pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat F. Mannella, M. Mirolli and G. Baldassarre
    6. Evolution, (sequential) learning and generalization in modular and nonmodular visual neural networks R. Calabretta
    7. Effects of network structure on associative memory H. Oshima and T. Odagaki
    8. Neural networks and neuro-oncology L. Douw, C. J. Stam, M. Klein, J. J. Heimans and J. C. Reijneveld
    Part III. Artificial Neural Networks as Models of Perceptual Processing in Ecology and Evolutionary Biology:
    9. Evolutionary diversification of mating behaviour: using artificial neural networks to study reproductive character displacement and speciation K. S. Pfennig and M. J. Ryan
    10. Applying artificial neural networks to the study of prey coloration S. Merilaita
    11. Artificial neural networks in models of specialization, guild evolution and sympatric speciation N. M. A. Holmgren, N. Norrstrom and W. M. Getz
    12. Probabilistic design principles for robust multimodal communication networks D. C. Krakauer, J. Flack and N. Ay
    13. Movement-based signalling and the physical world: modelling the changing perceptual task for receivers R. A. Peters
    Part IV. Methodological Issues in the Use of Simple Feedforward Networks:
    14. How training and testing histories affect generalization: a test of simple neural networks S. Ghirlanda and M. Enquist
    15. The need for stochastic replication of ecological neural networks C. R. Tosh and G. D. Ruxton
    16. Methodological issues in modelling ecological learning with neural networks D. W. Franks and G. D. Ruxton
    17. Neural network evolution and artificial life research D. Curran and C. O'Riordan
    18. Current velocity shapes the functional connectivity of benthiscapes to stream insect movement J. D. Olden
    19. A model biological neural network: the cephalopod vestibular system R. Williamson and A. Chrachri.

  • Editors

    Colin R. Tosh, University of Leeds
    Colin Tosh is a postdoctoral researcher currently based in the Institute of Integrative and Comparative Biology, University of Leeds. He began his career as an experimental behavioural biologist, specialising in the host utilisation behaviour of insects. More recently he has extended his interests to theoretical biology and is currently interested in applying neural network models to study the impact of information degradation and bias between trophic levels (such as predator-prey and herbivore-plant). He is author of numerous papers in international journals of ecology and evolution and recently published a major review on insect behaviour.

    Graeme D. Ruxton, University of Glasgow
    Graeme Ruxton is Professor of Theoretical Ecology at the University of Glasgow. He began life as a physicist, but ended up in behavioural ecology after a detour into statistics. His interests focus on the use of mathematical models as tools for understanding animal behaviour, with particular interest in cognitive aspects of predator-prey interactions. He has co-authored over 200 peer-reviewed papers, one textbook and two monographs. Ruxton and Tosh have several years of experience of fruitful collaboration, centred on the use of neural networks as representations of the sensory and decision-making processes of predators.

    Contributors

    K. Gurney, Steven M. Phelps, A. Borst, R. L. White III, L. H. Snyder, F. Mannella, M. Mirolli, G. Baldassarre, R. Calabretta, H. Oshima, T. Odagaki, L. Douw, C. J. Stam, M. Klein, J. J. Heimans, J. C. Reijneveld, K. S. Pfennig, M. J. Ryan, S. Merilaita, N. M. A. Holmgren, N. Norrstrom, W. M. Getz, D. C. Krakauer, J. Flack, N. Ay, R. A. Peters, S. Ghirlanda, M. Enquist, C. R. Tosh, G. D. Ruxton, D. W. Franks, D. Curran, C. O'Riordan, J. D. Olden, R. Williamson, A. Chrachri

Sign In

Please sign in to access your account

Cancel

Not already registered? Create an account now. ×

Sorry, this resource is locked

Please register or sign in to request access. If you are having problems accessing these resources please email lecturers@cambridge.org

Register Sign in
Please note that this file is password protected. You will be asked to input your password on the next screen.

» Proceed

You are now leaving the Cambridge University Press website. Your eBook purchase and download will be completed by our partner www.ebooks.com. Please see the permission section of the www.ebooks.com catalogue page for details of the print & copy limits on our eBooks.

Continue ×

Continue ×

Continue ×

Find content that relates to you

This site uses cookies to improve your experience. Read more Close

Are you sure you want to delete your account?

This cannot be undone.

Cancel

Thank you for your feedback which will help us improve our service.

If you requested a response, we will make sure to get back to you shortly.

×
Please fill in the required fields in your feedback submission.
×