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Modelling Perception with Artificial Neural Networks |
Colin R. Tosh; Graeme D. Ruxton
Cambridge University Press
Modelling Perception with Artificial Neural Networks
14 - How training and testing histories affect generalisation: a test of simple neural networks
Authors

Stefano Ghirlanda; Magnus Enquist

ARI Id

1667200250736_10098782

Access

Not Available Free

Pages

295-307

Chapter URL

https://www.cambridge.org/core/books/modelling-perception-with-artificial-neural-networks/how-training-and-testing-histories-affect-generalisation-a-test-of-simple-neural-networks/2493970E305575CA9AF115D8F11DBF26

Table of Contents of Book
Showing 1 to 20 of 28 entries
Chapters/HeadingsAuthor(s)PagesInfo
Frontmatter
i-iv
Contents
v-vi
Contributors
vii-x
Introduction: Modelling perception with artificial neural networks
Colin R. Tosh; Graeme D. Ruxton
1-4
Part I - General themes
5-6
1 - Neural networks for perceptual processing: from simulation tools to theories
Kevin Gurney
7-34
2 - Sensory ecology and perceptual allocation: new prospects for neural networks
Steven M. Phelps
35-60
Part II - The use of artificial neural networks to elucidate the nature of perceptual processes in animals
61-62
3 - Correlation versus gradient type motion detectors: the pros and cons
Alexander Borst
63-73
4 - Spatial constancy and the brain: insights from neural networks
Robert L. White III; Lawrence H. Snyder
74-92
5 - The interplay of Pavlovian and instrumental processes in devaluation experiments: a computational embodied neuroscience model tested with a simulated rat
Francesco Mannella; Marco Mirolli; Gianluca Baldassarre
93-113
6 - Evolution, (sequential) learning and generalisation in modular and nonmodular visual neural networks
Raffaele Calabretta
114-133
7 - Effects of network structure on associative memory
Hiraku Oshima; Takashi Odagaki
134-148
8 - Neural networks and neuro-oncology: the complex interplay between brain tumour, epilepsy and cognition
L. Douw; C.J. Stam; M. Klein; J.J. Heimans; J.C. Reijneveld
149-184
Part III - Artificial neural networks as models of perceptual processing in ecology and evolutionary biology
185-186
9 - Evolutionary diversification of mating behaviour: using artificial neural networks to study reproductive character displacement and speciation
Karin S. Pfennig; Michael J. Ryan
187-214
10 - Applying artificial neural networks to the study of prey colouration
Sami Merilaita
215-235
11 - Artificial neural networks in models of specialisation, guild evolution and sympatric speciation
Noél M. A. Holmgren; Niclas Norrström; Wayne M. Getz
236-254
12 - Probabilistic design principles for robust multi-modal communication networks
David C. Krakauer; Jessica Flack; Nihat Ay
255-268
13 - Movement-based signalling and the physical world: modelling the changing perceptual task for receivers
Richard A. Peters
269-292
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 28 entries
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