Abstract.
Although the extrapolation of past perceptual history into the immediate and distant future is a fundamental phenomenon in everyday life, the underlying processing mechanisms are not well understood. A network model consisting of interacting excitatory and inhibitory cell populations coding for stimulus position is used to study the neuronal population response to a continuously moving stimulus. An adaptation mechanism is proposed that offers the possibility to control and modulate motion-induced extrapolation without changing the spatial interaction structure within the network. Using an occluder paradigm, functional advantages of an internally generated model of a moving stimulus are discussed. It is shown that the integration of such a model in processing leads to a faster and more reliable recognition of the input stream and allows for object permanence following occlusion. The modeling results are discussed in relation to recent experimental findings that show motion-induced extrapolation.
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Received: 19 December 2001 / Accepted: 26 November 2002 / Published online: 3 April 2003
Correspondence to: W. Erlhagen (e-mail: wolfram.erlhagen@mct.uminho.pt)
Acknowledgements. The author would like to thank D. Jancke for useful discussions and two anonymous reviewers for helpful comments and suggestions on a previous version of this paper. This research was supported by a European grant (IST-2000-29689) and by the Portuguese Science Foundation (POSI/SRI/38051/2001).
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Erlhagen, W. Internal models for visual perception. Biol. Cybern. 88, 409–417 (2003). https://doi.org/10.1007/s00422-002-0387-1
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DOI: https://doi.org/10.1007/s00422-002-0387-1