Browsing CAS/CNS Technical Reports by Title

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Browsing CAS/CNS Technical Reports by Title

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  • Acoustic Space Movement Planning in a Neural Model of Motor Equivalent Vowel Production
    Johnson, Dave; Guenther, Frank H. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-03)
    Recent evidence suggests that speakers utilize an acoustic-like reference frame for the planning of speech movements. DIVA, a computational model of speech acquisition and motor equivalent speech production, has previously ...
  • Active Estimation of Distance in a Robotic Vision System that Replicates Human Eye Movement
    Santini, Fabrizio; Rucci, Michele (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2005-01)
    Many visual cues, both binocular and monocular, provide 3D information. When an agent moves with respect to a scene, an important cue is the different motion of objects located at various distances. While a motion parallax ...
  • An Active Pattern Recognition Architecture for Mobile Robots
    Aguilar, J. Mario; Contreras-Vidal, Jose L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-01)
    An active, attentionally-modulated recognition architecture is proposed for object recognition and scene analysis. The proposed architecture forms part of navigation and trajectory planning modules for mobile robots. Key ...
  • Adaptation of Dopamine Neurons' Mismatch Sensitivity Is not Compatible With Reinforcement Learning Theory
    Tan, Can Ozan; Anderson, Eric; Dranias, Mark; Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-03)
    Recent electrophysical data inspired the claim that dopaminergic neurons adapt their mismatch sensitivities to reflect variances of expected rewards. This contradicts reward prediction error theory and most basal ganglia ...
  • Adaptive Neural Models of Queuing and Timing in Fluent Action
    Bullock, Daniel (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-09)
    Temporal structure in skilled, fluent action exists at several nested levels. At the largest scale considered here, short sequences of actions that are planned collectively in prefrontal cortex appear to be queued for ...
  • Adaptive Neural Networks for Control of Movement Trajectories Invariant under Speed and Force Rescaling
    Bullock, Dan; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1991-02)
    This article describes two neural network modules that form part of an emerging theory of how adaptive control of goal-directed sensory-motor skills is achieved by humans and other animals. The Vector-Integration-To-Endpoint ...
  • Adaptive Nonlocal Filtering: A Fast Alternative to Anisotropic Diffusion for Image Enhancement
    Fischl, Bruce; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1996-11)
    The goal of many early visual filtering processes is to remove noise while at the same time sharpening contrast. An historical succession of approaches to this problem, starting with the use of simple derivative and smoothing ...
  • Adaptive Nonlocal Filtering: A Fast Alternative to Anisotropic Diffusion for Image Enhancement
    Fischl, Bruce; Schwartz, Eric L. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, )
    Nonlinear anisotropic diffusion algorithms provide a significant improvement in image enhancement for segmentation, when compared to more traditional linear isotropic filters. However, the excessive computational cost of ...
  • Adaptive Renosance Theory
    Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1993-09-03)
  • Adaptive Resonance: An Emerging Neural Theory of Cognition
    Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-09)
    Adaptive resonance is a theory of cognitive information processing which has been realized as a family of neural network models. In recent years, these models have evolved to incorporate new capabilities in the cognitive, ...
  • Adaptive Resonance Associative Map: A Hierarchical ART System for Fast Stable Associative Learning
    Tan, Ah-Hwee (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1992-02)
    This paper introduces a new class of predictive ART architectures, called Adaptive Resonance Associative Map (ARAM) which performs rapid, yet stable heteroassociative learning in real time environment. ARAM can be visualized ...
  • Adaptive Resonance Theory
    Carpenter, Gail; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-09)
  • Adaptive Resonance Theory
    Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2000-10)
  • Adaptive Resonance Theory
    Carpenter, Gail A.; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2009-05)
  • Adaptive Resonance Theory: Self-Organizing Networks for Stable Learning, Recognition, and Prediction
    Carpenter, Gail; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1995-05)
    Adaptive Resonance Theory (ART) is a neural theory of human and primate information processing and of adaptive pattern recognition and prediction for technology. Biological applications to attentive learning of visual ...
  • Adaptive Tesselation CMAC
    Chey, Jonathan (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1994-05)
    An ndaptive tessellation variant of the CMAC architecture is introduced. Adaptive tessellation is an error-based scheme for distributing input representations. Simulations show that the new network outperforms the original ...
  • Adaptive Timing, Attention, and Movement Control
    Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1997-12)
    Examples of how LTP and LTD can control adaptively timed learning that modulates attention and motor control are given. It is also suggested that LTP/LTD can also play a role in storing memories. The distinction between ...
  • AIRSTREAM: A Neural Network Model of Auditory Scene Analysis and Source Segregation
    Grossberg, Stephen; Govindarajan, Krishna; Wyse, Lonce; Cohen, Michael (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-06)
    Multiple sound sources often contain harmonics that overlap and may be degraded by environmental noise. The auditory system is capable of teasing apart these sources into distinct mental objects, or streams. Such an "auditory ...
  • Anisotropic Interpolation on Graphs: The Combinatorial Dirichlet Problem
    Grady, Leo; Schwartz, Eric (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-07)
    The combinatorial Dirichlet problem is formulated, and an algorithm for solving it is presented. This provides an effective method for interpolating missing data on weighted graphs of arbitrary connectivity. Image processing ...
  • Application of Biological Learning Theories to Mobile Robot Avoidance and Approach Behaviors
    Chang, Caroilna; Gaudiano, Paolo (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1998-02)
    We present a neural network that learns to control approach and avoidance behaviors in a mobile robot using the mechanisms of classical and operant conditioning. Learning, which requires no supervision, takes place as the ...

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