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{
    "pk": 31679,
    "title": "Tau Net: The Way to do is to be",
    "subtitle": null,
    "abstract": "We describe a technique for automatically adapt-\ning to the rate of an incoming signal. We first\nbuild a model of the signal using a recurrent net-\nwork trained to predict the input at some delay,\nfor a \"typical\" rate of the signal. Then, fixing the\nweights of this network, we adapt the time con-\nstant T of the network using gradient descent,\nadapting the delay appropriately as well. W e\nhave found that on simple signals, the network\nadapts rapidly to new inputs varying in rate from\ntwice as fast as the original signal, d o w n to ten\ntimes as slow. So far our results are based on\nlinear rate changes. We discuss the possibilities\nof application to speech.",
    "language": "eng",
    "license": {
        "name": "",
        "short_name": "",
        "text": null,
        "url": ""
    },
    "keywords": [],
    "section": "Submitted Presentations",
    "is_remote": true,
    "remote_url": "https://escholarship.org/uc/item/01c4x1gs",
    "frozenauthors": [
        {
            "first_name": "Garrison",
            "middle_name": "W.",
            "last_name": "Cottrel",
            "name_suffix": "",
            "institution": "University of California, San Diego",
            "department": ""
        },
        {
            "first_name": "Mai",
            "middle_name": "",
            "last_name": "Nguyen",
            "name_suffix": "",
            "institution": "University of California, San Diego",
            "department": ""
        },
        {
            "first_name": "Fu-Sheng",
            "middle_name": "",
            "last_name": "Tsung",
            "name_suffix": "",
            "institution": "University of California, San Diego",
            "department": ""
        }
    ],
    "date_submitted": null,
    "date_accepted": null,
    "date_published": "1993-01-01T13:00:00-05:00",
    "render_galley": null,
    "galleys": [
        {
            "label": "PDF",
            "type": "pdf",
            "path": "https://journalpub.escholarship.org/cognitivesciencesociety/article/31679/galley/22747/download/"
        }
    ]
}