Presentation 1999/11/20
Functional roles of category information in visual cognition
Masaya Misaki, Toshio Inui,
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Abstract(in English) We examined effects and functional roles of category information in visual cognition by psychological experiments and neural network simulation. In psychological experiments, similarities within category increased when category information is provided, and indicated that this effect is a top-down category information effect. We can simulate this effect by neural network model that has bidirectional connections and made internal representations from mix of bottom-up input and top-down category bias. Top-down category bias exaggerates common features of category. Exaggerating common features is relevant to deduction from category label. This functional role of category (deducing features from category label) is thought to owe similarity changes observed in psychological experiment.
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Keyword(in English) category / neural network / hierarchical Boltzmann machine / reinforcement learning
Paper # HIP99-58
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Committee HIP
Conference Date 1999/11/20(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Functional roles of category information in visual cognition
Sub Title (in English)
Keyword(1) category
Keyword(2) neural network
Keyword(3) hierarchical Boltzmann machine
Keyword(4) reinforcement learning
1st Author's Name Masaya Misaki
1st Author's Affiliation Graduate School of Informatics, Kyoro University()
2nd Author's Name Toshio Inui
2nd Author's Affiliation Graduate School of Informatics, Kyoro University
Date 1999/11/20
Paper # HIP99-58
Volume (vol) vol.99
Number (no) 453
Page pp.pp.-
#Pages 6
Date of Issue