Abstract


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Click to download PDF version Click to download BibTeX data Clik to view abstract L. Itti, J. Braun, C. Koch, Modeling the Modulatory Effect of Attention on Human Spatial Vision, In: Advances in Neural Information Processing Systems (NIPS*2001), Vol. 14, (T. G. Dietterich, S. Becker, Z. Ghahramani Ed.), pp. 1247-1254, Cambridge, MA:MIT Press, Aug 2002. [2001 acceptance rate: 30%] (Cited by 14)

Abstract: We present new simulation results, in which a computational model of interacting visual neurons simultaneously predicts the modulation of spatial vision thresholds by focal visual attention, for five dual-task human psychophysics experiments. This new study complements our previous findings that attention activates a winner-take-all competition among early visual neurons within one cortical hypercolumn. This ``intensified competition'' hypothesis assumed that attention equally affects all neurons, and yielded two single-unit predictions: an increase in gain and a sharpening of tuning with attention. While both effects have been separately observed in electrophysiology, no single-unit study has yet shown them simultaneously. Hence, we here explore whether our model could still predict our data if attention might only modulate neuronal gain, but do so non-uniformly across neurons and tasks. Specifically, we investigate whether modulating the gain of only the neurons that are loudest, best-tuned, or most informative about the stimulus, or of all neurons equally but in a task-dependent manner, may account for the data. We find that none of these hypotheses yields predictions as plausible as the intensified competition hypothesis, hence providing additional support for our original findings.

Themes: Computational Modeling, Model of Top-Down Attentional Modulation, Human Psychophysics

 

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