Above are papers related to the following paper: [Paper_ID] Paper #12275. 	[Title] Neural Models for Part-Whole Hierarchies [Abstract] We present a connectionist method for representing images that explicitly addresses their hierarchical nature. It blends data from neu-roscience about whole-object viewpoint sensitive cells in inferotem-poral cortex 8 and attentional basis-field modulation in V4 3 with ideas about hierarchical descriptions based on microfeatures. 5, 11 The resulting model makes critical use of bottom-up and top-down pathways for analysis and synthesis. 6 We illustrate the model with a simple example of representing information about faces. Please summarise all the given information.

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Paper #12275 has the title `Neural Models for Part-Whole Hierarchies  
` and the abstract `We present a connectionist method for representing images that explicitly addresses their hierarchical nature. It blends data from neu-roscience about whole-object viewpoint sensitive cells in inferotem-poral cortex 8 and attentional basis-field modulation in V4 3 with ideas about hierarchical descriptions based on microfeatures. 5, 11 The resulting model makes critical use of bottom-up and top-down pathways for analysis and synthesis. 6 We illustrate the model with a simple example of representing information about faces.
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Question: Which category should Paper #12275 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].


Paper #12275 has the title `Neural Models for Part-Whole Hierarchies  
` and the abstract `We present a connectionist method for representing images that explicitly addresses their hierarchical nature. It blends data from neu-roscience about whole-object viewpoint sensitive cells in inferotem-poral cortex 8 and attentional basis-field modulation in V4 3 with ideas about hierarchical descriptions based on microfeatures. 5, 11 The resulting model makes critical use of bottom-up and top-down pathways for analysis and synthesis. 6 We illustrate the model with a simple example of representing information about faces.
`.
Question: Which category should Paper #12275 be classified as ?
You can select one from ['Neural_Networks', 'Case_Based', 'Theory', 'Reinforcement_Learning', 'Probabilistic_Methods', 'Rule_Learning', 'Genetic_Algorithms'].

This paper should be classified into: Neural_Networks