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    ABSTRACT: Although work in primates on higher-order visual areas has revealed how the individual and concerted activity of neurons correlates with behavioral reports of object recognition, very little is known about the underlying mechanisms for visual recognition memory. Low-level vision, even as early as primary visual cortex (V1) and even in subjects as unsophisticated as rodents, promises to fill this void. Although this latter approach sacrifices interrogation of many of the most astounding features of visual recognition, it does provide experimental constraint, proximity to sensory input, and a wide range of interventional approaches. The tractability of rodent visual cortex promises to reveal the molecular mechanisms and circuits that are essential for a fundamental form of memory. Copyright © 2015. Published by Elsevier Ltd.
    No preview · Article · Dec 2015 · Current opinion in neurobiology
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    ABSTRACT: This research develops and evaluates a new approach that can be applied during STPA Step 1 (identify Unsafe Control Actions) to efficiently identify complex feature interactions among multiple controllers that can result in dysfunctional system behavior. The new approach is applied and evaluated using several automated automotive systems with an emphasis on controllers that may interact or interfere with each other directly or indirectly. The approach is shown to analyze hundreds of interactions with an order of magnitude less effort than has been possible previously. In addition, formal methods are applied to support reasoning about completeness and to enable tool assistance during the search for dysfunctional interactions. Humans are explicitly included as controllers that may interact with automated systems, and accident scenarios involving complex human interactions such as software-induced human errors can be identified.
    Full-text · Article · Dec 2015 · Procedia Engineering
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    Preview · Article · Dec 2015

Information

  • Address
    77 Massachusetts Avenue, 02139, Cambridge, MA, United States
  • Head of Institution
    Rafael Reif
  • Website
    http://www.mit.edu/
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