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Browsing College of Arts and Sciences by Subject "Optic flow"

OpenBU

Browsing College of Arts and Sciences by Subject "Optic flow"

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  • Browning, Andrew N.; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2008-12)
    Visually guided navigation through a cluttered natural scene is a challenging problem that animals and humans accomplish with ease. The ViSTARS neural model proposes how primates use motion information to segment objects ...
  • Pack, Christopher; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-06-04)
    When an expansion flow field of moving dots is overlapped by planar motion, observers perceive an illusory displacement of the focus of expansion (FOE) in the direction of the planar motion (Duffy & Wurtz, 1993. Vision ...
  • Browing, Andrew N.; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2008-12)
    Animals avoid obstacles and approach goals in novel cluttered environments using visual information, notably optic flow, to compute heading, or direction of travel, with respect to objects in the environment. We present a ...
  • Grossberg, Stephen; Mingolla, Ennio; Pack, Christopher (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-09)
    Cells in the dorsal medial superior temporal cortex (MSTd) process optic flow generated by self-motion during visually-guided navigation. A neural model shows how interactions between well-known neural mechanisms (log polar ...
  • Elder, David M.; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-04)
    A neural model is developed to explain how humans can approach a goal object on foot while steering around obstacles to avoid collisions in a cluttered environment. The model uses optic flow from a 3D virtual reality ...
  • Elder, David M.; Grossberg, Stephen; Minogolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-04)
    A neural model is developed to explain how humans can approach a goal object on foot while steering around obstacles to avoid collisions in a cluttered environment. The model uses optic flow from a 3D virtual reality ...

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