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{
    "pk": 31863,
    "title": "Using Trajectory Mapping to Analyze Musical Intervals",
    "subtitle": null,
    "abstract": "Cognitive scientists have often pondered the question of perceptual spaces, that is, the question of how a certain gamut of familiar stimuli might be organized in the mind. W e present Trajectory Mapping as an alternative clustering method to the traditional algorithm of Multi-Dimensional Scaling. We suggest that given data about the relationships among stimuli, Multi-Dimensional Scaling provides the one type of information (geometric), while Trajectory Mapping offers a second type (relational). As an illustration we present the initial results of applying both clustering techniques to subjects' perceptions of musical intervals. While an interpretation of the MultiDimensional Scaling requires a priori knowledge of music theory, Trajectory Mapping directly reveals the music theory that has been internalized by subjects.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Refereed Papers",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/6zz624kk",
    "frozenauthors": [
        {
            "first_name": "Stephen",
            "middle_name": "A.",
            "last_name": "Gilbert",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        },
        {
            "first_name": "Whitman",
            "middle_name": "",
            "last_name": "Richards",
            "name_suffix": "",
            "institution": "Massachusetts Institute of Technology",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1994-01-01T18:00:00Z",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31863/galley/22930/download/"
        }
    ]
}