### Abstract

It has been demonstrated that basic aspects of human visual motion perception are qualitatively consistent with a Bayesian estimation framework, where the prior probability distribution on velocity favors slow speeds. Here, we present a refined probabilistic model that can account for the typical trial-to-trial variabilities observed in psychophysical speed perception experiments. We also show that data from such experiments can be used to constrain both the likelihood and prior functions of the model. Specifically, we measured matching speeds and thresholds in a two-alternative forced choice speed discrimination task. Parametric fits to the data reveal that the likelihood function is well approximated by a LogNormal distribution with a characteristic contrast-dependent variance, and that the prior distribution on velocity exhibits significantly heavier tails than a Gaussian, and approximately follows a power-law function.

Original language | English (US) |
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Title of host publication | Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004 |

Publisher | Neural information processing systems foundation |

ISBN (Print) | 0262195348, 9780262195348 |

State | Published - Jan 1 2005 |

Event | 18th Annual Conference on Neural Information Processing Systems, NIPS 2004 - Vancouver, BC, Canada Duration: Dec 13 2004 → Dec 16 2004 |

### Publication series

Name | Advances in Neural Information Processing Systems |
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ISSN (Print) | 1049-5258 |

### Other

Other | 18th Annual Conference on Neural Information Processing Systems, NIPS 2004 |
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Country | Canada |

City | Vancouver, BC |

Period | 12/13/04 → 12/16/04 |

### Fingerprint

### ASJC Scopus subject areas

- Computer Networks and Communications
- Information Systems
- Signal Processing

### Cite this

*Advances in Neural Information Processing Systems 17 - Proceedings of the 2004 Conference, NIPS 2004*(Advances in Neural Information Processing Systems). Neural information processing systems foundation.