Browsing by Subject "Neural network"

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Browsing by Subject "Neural network"

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  • Carpenter, Gail A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-01)
    A class of adaptive resonance theory (ART) models for learning, recognition, and prediction with arbitrarily distributed code representations is introduced. Distributed ART neural networks combine the stable fast learning ...
  • Carpenter, Gail A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-03)
    The distributed outstar, a generalization of the outstar neural network for spatial pattern learning, is introduced. In the outstar, signals from a source node cause weights to learn and recall arbitrary patterns across a ...
  • Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-05)
    Calligraphic writing presents a rich set of challenges to the human movement control system. These challenges include: initial learning, and recall from memory, of prescribed stroke sequences; critical timing of stroke ...
  • Carpenter, Gail; Grossberg, Stephen; Rosen, David (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-06)
    A Fuzzy ART model capable of rapid stable learning of recognition categories in response to arbitrary sequences of analog or binary input patterns is described. Fuzzy ART incorporates computations from fuzzy set theory ...
  • Kopco, Norbert; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-03)
    This study presents an analysis of a modified ARTMAP neural network in which a graded signal function replaces the standard choice-by-difference function. The modifications are introduced mathematically and the performance ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-12)
  • Grady, Leo; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-10)
    Temporal structure is skilled, fluent action exists at several nested levels. At the largest scale considered here, short sequences of actions that are planned collectively in prefronatal cortex appear to be queued for ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-10)
    The processes whereby our brains continue to learn about a changing world in a stable fashion throughout life are proposed to lead to conscious experiences. These processes include the learning of top-down expectations, ...
  • Fiala, John C.; Grossberg, Stephen; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-10)
    To understand how the cerebellum adaptively times the classically conditioned nictitating membrane response (NMR), a model of the metabotropic glutamate receptor (mGluR) second messenger system in cerebellar Purkinje cells ...
  • Dessing, Joost; Bullock, Daniel; Peper, C. (Lieke); Beck, Peter (Boston University Computer Science Department, 2001-01)
    Two prospective controllers of hand movements in catching -- both based on required velocity control -- were simulated. Under certain conditions, this required velocity controlled to overshoots of the future interception ...
  • Cohen, Michael A.; Grossberg, Stephen; Pribe, Christopher (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-11)
    1) A large body of behavioral data conceming animal and human gaits and gait transitions is simulated as emergent properties of a central pattern generator (CPG) model. The CPG model incorporates neurons obeying Hodgkin-Huxley ...
  • Grossberg, Stephen; Pribe, Christopher; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-07)
    How do humans and other animals accomplish coordinated movements? How are novel combinations of limb joints rapidly assembled into new behavioral units that rnove together in in-phase or anti-phase movement patterns during ...
  • Pribe, Christopher A.; Grossberg, Stephen; Cohen, Michael A. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-07)
    Behavioral data concerning animal and human gaits and gait transitions are simulated as emergent properties of a central pattern generator (CPG) model. The CPG model is a version of the Ellias-Grossberg oscillator. Its ...
  • Kelly, Frank; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-07)
    This article develops the FACADE theory of three-dimensional (3-D) vision to simulate data concerning how two-dimensional (2-D) pictures give rise to 3-D percepts of occluded and occluding surfaces. The theory suggests how ...
  • Grossberg, Stephen; Mingolla, Ennio; Viswanathan, Lavanya (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-02)
    A neural model is developed of how motion integration and segmentation processes, both within and across apertures, compute global motion percepts. Figure-ground properties, such as occlusion, influence which motion signals ...
  • Boardman, Ian; Grossberg, Stephen; Cohen, Michael (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-12)
    The perception of CV syllables exhibits a trading relationship between voice onset time (VOT) of a consonant and duration of a vowel. Percepts of [ba] and [wa] can, for example, depend on the durations of the consonant and ...
  • Grossberg, Stephen; Boardman, Ian; Cohen, Michael (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-12)
    What is the neural representation of a speech code as it evolves in real time? A neural model of thiss process, called the ARTPHONE model, is developed to quantitatively simulate data concerning segregation and integration ...
  • Baloch, Aijaz; Grossberg, Stephen; Mingolla, Ennio; Nogueira, C.A.M. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-10)
    A neural model of motion perception simulates psychophysical data. concerning first-order and second-order motion stimuli, including the reversal of perceived motion direction with distance from the stimulus (I display), ...
  • Repin, Dmitry; Grossberg, Stephen (Boston University Computer Science Department, 2001-01)
    The Extended Spatial Number Network (ESpaN) is a neural model that simulates processing of high-level numerical stimuli such as multi-digit numbers. The ESpaN model targets the explanation of human psychophysical data, ...
  • Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-09)
    When brain mechanism carry out motion integration and segmentation processes that compute unambiguous global motion percepts from ambiguous local motion signals? Consider, for example, a deer running at variable speeds ...