Article thumbnail

Artificial neural networks as models of stimulus control

By Stefano Ghirlanda and Magnus Enquist

Abstract

We evaluate the ability of artificial neural network models (multi-layer perceptrons) to predict stimulus-­response relationships. A variety of empirical results are considered, such as generalization, peak-shift (supernormality) and stimulus intensity effects. The networks were trained on the same tasks as the animals in the considered experiments. The subsequent generalization tests on the networks showed that the model replicates correctly the empirical results. It is concluded that these models are valuable tools in the study of animal behaviour

Topics: Ethology, Computational Neuroscience, Neural Nets, Animal Behavior
Year: 1998
DOI identifier: 10.1006/anbe.1998.0903
OAI identifier: oai:cogprints.org:5271

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles

Citations

  1. (1995). An exaggerated preference for simple neural network models of signal evolution?
  2. (1991). Applications of neural networks to character recognition.
  3. (1927). Conditioned reflexes.
  4. (1997). Configural analysis of summation in autoshaping.
  5. (1956). Discriminability and stimulus generalization.
  6. (1985). Distributed memory and the representation of general and specific information.
  7. (1962). Effect of monochromatic rearing on the control of responding by wavelength.
  8. (1983). Generalization of and effect of preexposure on color avoidance learning by red winged blackbirds (Agelaius Phoeniceus).
  9. (1986). Learning internal representation by back-propagation of errors.
  10. (1985). Models of parent-offspring conflict. V. Effects of the behavoiur of the two parents.
  11. (1987). Spin Glass Theory and Beyond. Singapore: World Scientific.
  12. (1949). Stimulus generalisation of conditioned responses.
  13. (1976). Stimulus generalization of an illness-induced aversion to different intensities of colored water in Japanese quail.
  14. (1991). Stimulus generalization, discrimination learning, and peak shift in horses.
  15. (1960). Stimulus generalization.
  16. (1992). The computational brain.
  17. (1993). The evolution of cooperation in mobile organisms.
  18. (1950). The generalization of an instrumental response to stimuli varying in the size dimension.
  19. (1982). The hering gull and its egg. Part II. The responsiveness to egg-features.
  20. (1998). The secrets of faces.