Statistical Models of Conditioning

NeurIPS 1997 pp. 117-123

/neurips/1997/dayan1997neurips-statistical/

Abstract

Conditioning experiments probe the ways that animals make pre(cid:173) dictions about rewards and punishments and use those predic(cid:173) tions to control their behavior. One standard model of condition(cid:173) ing paradigms which involve many conditioned stimuli suggests that individual predictions should be added together. Various key results show that this model fails in some circumstances, and mo(cid:173) tivate an alternative model, in which there is attentional selection between different available stimuli. The new model is a form of mixture of experts, has a close relationship with some other exist(cid:173) ing psychological suggestions, and is statistically well-founded.

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Text

Dayan and Long. "Statistical Models of Conditioning." Neural Information Processing Systems, 1997.

Markdown

[Dayan and Long. "Statistical Models of Conditioning." Neural Information Processing Systems, 1997.](https://mlanthology.org/neurips/1997/dayan1997neurips-statistical/)

BibTeX

@inproceedings{dayan1997neurips-statistical,
  title     = {{Statistical Models of Conditioning}},
  author    = {Dayan, Peter and Long, Theresa},
  booktitle = {Neural Information Processing Systems},
  year      = {1997},
  pages     = {117-123},
  url       = {https://mlanthology.org/neurips/1997/dayan1997neurips-statistical/}
}