The author argues convincingly that predictive mechanisms are pervasive in the CNS. However, scientific understanding of visual prediction requires one to formulate empirically testable neurophysiological models. The author’s suggestions in this direction are to be evaluated on the basis of more realistic experimental methodologies and more plausible assumptions on the hierarchical character of the human visual cortex
Trautteur, G., Datteri, E., Santoro, M. (2008). Empirically testable models are needed for understanding visual prediction. BEHAVIORAL AND BRAIN SCIENCES, 31(2), 217-218 [10.1017/S0140525X08004019].
Empirically testable models are needed for understanding visual prediction
DATTERI, EDOARDO;
2008
Abstract
The author argues convincingly that predictive mechanisms are pervasive in the CNS. However, scientific understanding of visual prediction requires one to formulate empirically testable neurophysiological models. The author’s suggestions in this direction are to be evaluated on the basis of more realistic experimental methodologies and more plausible assumptions on the hierarchical character of the human visual cortex
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