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Predicting the visual world: silence is golden

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Abstract

In predictive coding, only unexpected input features are signaled to the next stage of processing. Rao and Ballard use this approach to model extra–classical receptive field effects.

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Figure 1: A purely feedforward model10 can account for the available quantitative data on view–tuned inferotemporal cells.

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Authors and Affiliations

  1. Christof Koch is at the Computation and Neural Systems Program, California Institute of Technology,, Pasadena, 91125, California, USA

    Christof Koch

  2. Tomaso Poggio is at CBCL in the Brain Sciences Department and in the AI Lab at MIT, Cambridge, 02142, Massachusetts, USA

    Tomaso Poggio

Authors
  1. Christof Koch
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  2. Tomaso Poggio
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Koch, C., Poggio, T. Predicting the visual world: silence is golden. Nat Neurosci 2, 9–10 (1999). https://doi.org/10.1038/4511

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