Neural network models as evidence for different types of visual representations

Author(s): Chabris, C. F., Baker, D. P.

Journal/Book: Cognitive Sci. 1995; 19: 355 Chestnut St, Norwood, NJ 07648. Ablex Publ Corp. 575-579.

Abstract: Cook (1995) criticizes the work of Jacobs and Kosslyn (1994) on spatial relations, shape representations, and receptive fields in neural network models on the grounds that first-order correlations between input and output unit activities can explain the results. We reply briefly to Cook's arguments here (and in Kosslyn, Chabris, Marsolek, Jacobs, & Koenig, 1995) and discuss how new simulations can confirm the importance of receptive field size as a crucial variable in the encoding of categorical and coordinate spatial relations and the corresponding shape representations; such simulations would testify to the computational distinction between the different types of representations.

Note: Article SM Kosslyn, Harvard Univ, Dept Psychol, 33 Kirkland St, Cambridge, MA 02138 USA

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