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An information maximization model of eye movements.
Adv Neural Inf Process Syst. 2005; 17:1121-8.AN

Abstract

We propose a sequential information maximization model as a general strategy for programming eye movements. The model reconstructs high-resolution visual information from a sequence of fixations, taking into account the fall-off in resolution from the fovea to the periphery. From this framework we get a simple rule for predicting fixation sequences: after each fixation, fixate next at the location that minimizes uncertainty (maximizes information) about the stimulus. By comparing our model performance to human eye movement data and to predictions from a saliency and random model, we demonstrate that our model is best at predicting fixation locations. Modeling additional biological constraints will improve the prediction of fixation sequences. Our results suggest that information maximization is a useful principle for programming eye movements.

Authors+Show Affiliations

Smith-Kettlewell Eye Research Institute, USA. laura@ski.orgNo affiliation info availableNo affiliation info availableNo affiliation info available

Pub Type(s)

Comparative Study
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.
Research Support, U.S. Gov't, P.H.S.

Language

eng

PubMed ID

16175670

Citation

Renninger, Laura Walker, et al. "An Information Maximization Model of Eye Movements." Advances in Neural Information Processing Systems, vol. 17, 2005, pp. 1121-8.
Renninger LW, Coughlan J, Verghese P, et al. An information maximization model of eye movements. Adv Neural Inf Process Syst. 2005;17:1121-8.
Renninger, L. W., Coughlan, J., Verghese, P., & Malik, J. (2005). An information maximization model of eye movements. Advances in Neural Information Processing Systems, 17, 1121-8.
Renninger LW, et al. An Information Maximization Model of Eye Movements. Adv Neural Inf Process Syst. 2005;17:1121-8. PubMed PMID: 16175670.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - An information maximization model of eye movements. AU - Renninger,Laura Walker, AU - Coughlan,James, AU - Verghese,Preeti, AU - Malik,Jitendra, PY - 2005/9/24/pubmed PY - 2005/10/18/medline PY - 2005/9/24/entrez KW - NASA Discipline Neuroscience KW - Non-NASA Center SP - 1121 EP - 8 JF - Advances in neural information processing systems JO - Adv Neural Inf Process Syst VL - 17 N2 - We propose a sequential information maximization model as a general strategy for programming eye movements. The model reconstructs high-resolution visual information from a sequence of fixations, taking into account the fall-off in resolution from the fovea to the periphery. From this framework we get a simple rule for predicting fixation sequences: after each fixation, fixate next at the location that minimizes uncertainty (maximizes information) about the stimulus. By comparing our model performance to human eye movement data and to predictions from a saliency and random model, we demonstrate that our model is best at predicting fixation locations. Modeling additional biological constraints will improve the prediction of fixation sequences. Our results suggest that information maximization is a useful principle for programming eye movements. SN - 1049-5258 UR - https://www.unboundmedicine.com/medline/citation/16175670/An_information_maximization_model_of_eye_movements_ DB - PRIME DP - Unbound Medicine ER -