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Introduction: Modelling perception with artificial neural networks 1
Part I General themes 5
1 Neural networks for perceptual processing: from simulation tools to theories Kevin Gurney Gurney, Kevin 7
2 Sensory ecology and perceptual allocation: new prospects for neural networks Steven M. Phelps Phelps, Steven M. 35
Part II The use of artificial neural networks to elucidate the nature of perceptual processes in animals 61
3 Correlation versus gradient type motion detectors: the pros and cons Alexander Borst Borst, Alexander 63
4 Spatial constancy and the brain: insights from neural networks Lawrence H. Snyder Snyder, Lawrence H. 74
5 The interplay of Pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat Gianluca Baldassarre Baldassarre, Gianluca 93
6 Evolution, (sequential) learning and generalisation in modular and nonmodular visual neural networks Raffaele Calabretta Calabretta, Raffaele 114
7 Effects of network structure on associative memory Tokashi Odagaki Odagaki, Tokashi 134
8 Neural networks and neuro-oncology: the complex interplay between brain tumour, epilepsy and cognition J. C. Reijneveld Reijneveld, J. C. 149
Part III Artificial neural networks as models of perceptual processing in ecology and evolutionary biology 185
9 Evolutionary diversification of mating behaviour: using artificial neural networks to study reproductive character displacement and speciation Michael J. Ryan Ryan, Michael J. 187
10 Applying artificial neural networks to the study of prey colouration Sami Merilaita Merilaita, Sami 215
11 Artificial neural networks in models of specialisation, guild evolution and sympatric speciation Wayne M. Getz Getz, Wayne M. 236
12 Probabilistic design principles for robust multi-modal communication networks Nihat Ay Ay, Nihat 255
13 Movement-based signalling and the physical world: modelling the changing perceptual task for receivers Richard A. Peters Peters, Richard A. 269
Part IV Methodological issues in the use of simple feedforward networks 293
14 How training and testing histories affect generalisation: a test of simple neural networks Magnus Enquist Enquist, Magnus 295
15 The need for stochastic replication of ecological neural networks Graeme D. Ruxton Ruxton, Graeme D. 308
16 Methodological issues in modelling ecological learning with neural networks Graeme D. Ruxton Ruxton, Graeme D. 318
17 Neural network evolution and artificial life research Colm O'Riordan O'Riordan, Colm 334
18 Current velocity shapes the functional connectivity of benthiscapes to stream insect movement Julian D. Olden Olden, Julian D. 351
19 A model biological neural network: the cephalopod vestibular system Abdul Chrachri Chrachri, Abdul 374
Index 390
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Add Modelling Perception with Artificial Neural Networks, 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, Modelling Perception with Artificial Neural Networks to the inventory that you are selling on WonderClubX
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Add Modelling Perception with Artificial Neural Networks, 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, Modelling Perception with Artificial Neural Networks to your collection on WonderClub |