Using computational models of object recognition to investigate representational change through development

Dean Petters*, John Hummel, Martin Jüttner, Elley Wakui, Jules Davidoff

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Empirical research on mental representation is challenging because internal representations are not available to direct observation. This chapter will show how empirical results from developmental studies, and insights from computational modelling of those results, can be combined with existing research on adults. So together all these research perspectives can provide convergent evidence for how visual representations mediate object recognition. Recent experimental studies have shown that development towards adult performance levels in configural processing in object recognition is delayed through middle childhood. Whilst part-changes to animal and artefact stimuli are processed with similar to adult levels of accuracy from 7 years of age, relative size changes to stimuli result in a significant decrease in relative performance for participants aged between 7 and 10. Two sets of computational experiments were run using the JIM3 artificial neural network with adult and ‘immature’ versions to simulate these results. One set progressively decreased the number of neurons involved in the representation of view-independent metric relations within multi-geon objects. A second set of computational experiments involved decreasing the number of neurons that represent view-dependent (non-relational) object attributes in JIM3’s surface map. The simulation results which show the best qualitative match to empirical data occurred when artificial neurons representing metric-precision relations were entirely eliminated. These results therefore provide further evidence for the late development of relational processing in object recognition and suggest that children in middle childhood may recognise objects without forming structural description representations.

Original languageEnglish
Title of host publicationStudies in Applied Philosophy, Epistemology and Rational Ethics
PublisherSpringer
Pages141-173
Number of pages33
Volume28
DOIs
Publication statusPublished - 2017

Publication series

NameStudies in Applied Philosophy, Epistemology and Rational Ethics
Volume28
ISSN (Print)2192-6255
ISSN (Electronic)2192-6263

Fingerprint

Object Recognition
Computational Model
Neuron
Childhood
Computational
Stimulus
Experiment
Artificial Neural Network
Empirical Research
Empirical Data
Developmental Study
Simulation
Visual Representation
Experimental Study
Artificial
Computational Modeling
Animals
Artifact
Configural Processing
Mental Representation

Cite this

Petters, D., Hummel, J., Jüttner, M., Wakui, E., & Davidoff, J. (2017). Using computational models of object recognition to investigate representational change through development. In Studies in Applied Philosophy, Epistemology and Rational Ethics (Vol. 28, pp. 141-173). (Studies in Applied Philosophy, Epistemology and Rational Ethics; Vol. 28). Springer. https://doi.org/10.1007/978-3-319-43784-2_8
Petters, Dean ; Hummel, John ; Jüttner, Martin ; Wakui, Elley ; Davidoff, Jules. / Using computational models of object recognition to investigate representational change through development. Studies in Applied Philosophy, Epistemology and Rational Ethics. Vol. 28 Springer, 2017. pp. 141-173 (Studies in Applied Philosophy, Epistemology and Rational Ethics).
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Petters, D, Hummel, J, Jüttner, M, Wakui, E & Davidoff, J 2017, Using computational models of object recognition to investigate representational change through development. in Studies in Applied Philosophy, Epistemology and Rational Ethics. vol. 28, Studies in Applied Philosophy, Epistemology and Rational Ethics, vol. 28, Springer, pp. 141-173. https://doi.org/10.1007/978-3-319-43784-2_8

Using computational models of object recognition to investigate representational change through development. / Petters, Dean; Hummel, John; Jüttner, Martin; Wakui, Elley; Davidoff, Jules.

Studies in Applied Philosophy, Epistemology and Rational Ethics. Vol. 28 Springer, 2017. p. 141-173 (Studies in Applied Philosophy, Epistemology and Rational Ethics; Vol. 28).

Research output: Chapter in Book/Report/Conference proceedingChapter

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Petters D, Hummel J, Jüttner M, Wakui E, Davidoff J. Using computational models of object recognition to investigate representational change through development. In Studies in Applied Philosophy, Epistemology and Rational Ethics. Vol. 28. Springer. 2017. p. 141-173. (Studies in Applied Philosophy, Epistemology and Rational Ethics). https://doi.org/10.1007/978-3-319-43784-2_8