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Browsing CAS/CNS Technical Reports by Title

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Browsing CAS/CNS Technical Reports by Title

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  • Pilly, Praveen K.; Grossberg, Stephen; Seitz, Aaron R. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-6)
    Studies of perceptual learning have focused on aspects of learning that are related to early stages of sensory processing. However, conclusions that perceptual learning results in low-level sensory plasticity are of great ...
  • Rinkus, Gerard J. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
    The problem of representing large sets of complex state sequences (CSSs)-i.e. sequences in which states can recur multiple times--has thus far resisted solution. This paper describes a novel neural network model, TEMECOR, ...
  • Grossberg, Stephen; Grunewald, Alexander (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-06)
    A neural model is developed to probe how corticogeniculate feedback may contribute to the dynamics of binocular vision. Feedforward and feedback interactions among retinal, lateral geniculate, and cortical simple and complex ...
  • Grossberg, Stephen; Gruenwald, Alexander (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-07)
    A neural model of binocular vision is developed to simulate psychophysical and neurobiological data concerning the dynamics of binocular disparity processing. The model shows how feedforward and feedback interactions among ...
  • Grossberg, Stephen; Pilly, Praveen K. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2008-02)
    How does the brain make decisions? Speed and accuracy of perceptual decisions covary with certainty in the input, and correlate with the rate of evidence accumulation in parietal and frontal cortical "decision neurons." A ...
  • Bhatt, Rushi; Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-07-28)
    A neural model is proposed of how laminar interactions in the visual cortex may learn and recognize object texture and form boundaries. The model brings together five interacting processes: region-based texture classification, ...
  • Oddo, Scott; Beck, Jacob; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-03)
    We compare the perceived segregation of element-arrangement patterns1 which are composed of two types of squanes arranged in vertical stripes in the top and bottom regions and in a checkerboard in the middle region. The ...
  • Grossberg, Stephen; Pessoa, Luiz (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-08)
    A widespread view is that most of texture segregation can be accounted for by differences in the spatial frequency content of texture regions. Evidence from both psychophysical and physiological studies indicate, however, ...
  • Grossberg, Stephen; Hwang, Seungwoo; Mingolla, Ennio (Boston University Computer Science Department, 2001-04)
    This article further develops the FACADE neural model of 3-D vision and figure-ground perception to quantitatively explain properties of the McCollough effect. The model proposes that many McCollough effect data result ...
  • Casile, Antonino; Rucci, Michele (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-01)
    Under natural viewing conditions, the physiological inotability of visual fixation keeps the projection of the stimulus on the retina in constant motion. After eye opening, chronic exposure to a constantly moving retinal ...
  • Guenther, Frank; Hampson, Michelle; Johnson, Dave (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-02)
    Does the speech motor control system utilize invariant vocal tract shape targets of any kind when producing phonemes? We present a four-part theoretical treatment favoring models whose only invariant targets are auditory ...
  • Carpenter, Gail A.; Rubin, Mark A.; Streilein, William W. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-05)
    The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered ...
  • Wood, Richard J.; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-10)
    Shear has been known to exist for many years in the topographic structure of prirnary visual cortex, but has received little attention in the modeling literature. Although the topographic map of V1 is largely conformal ...
  • Tal, D.; Schwartz, E. L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    Optical imaging methods have revealed the spatial arrangement of orientation columns across striate cortex, usually summarized in terms of two measurements at each cortical location: (i) a "best" stimulus orientation, ...
  • Raizada, Rajeev D.S.; Grossberg, Stephen (Boston University Computer Science Department, 2001-12-03)
    One of the most exciting and open research frontiers in neuroscience is that of seeking to understand the functional roles of the layers of cerebral cortex. New experimental techniques for probing the laminar circuitry of ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-10)
    A key goal of computational neuroscience is to link brain mechanisms to behavioral functions. The present article describes recent progress towards explaining how laminar neocortical circuits give rise to biological ...
  • Jacobs, J. Pieter; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-10)
    Prior reports indicated a non-linear increase in key overlap times (KOTs) as tempo slows for scales/arpeggios performed at internote intervals (INIs) of I00-1000 ms. Simulations illustrate that this function can be explained ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-10)
    An outstanding problem in psychiatry concerns how to link discoveries about the pharmacological, neurophysiological, and neuroanatomical substrates of mental disorders to the abnormal behaviors that they control. A related ...
  • Gaudiano, Paolo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-07)
    A computational model of visual processing in the vertebrate retina provides a unified explanation of a range of data previously treated by disparate models. Three results are reported here: the model proposes a functional ...
  • Carpenter, Gail A.; Ravindran, Arun (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2008-06)
    Sensors working at different times, locations, and scales, and experts with different goals, languages, and situations, may produce apparently inconsistent image labels that are reconciled by their implicit underlying ...

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