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URI: http://hdl.handle.net/2144/1237

The steady expansion of neuroscience at Boston University (BU) has created the opportunity to pursue core educational and research missions of the former Cognitivea and Neural Systems Department within broader, university-wide initiatives.

As of Fall 2011, activities formerly coordinated within CNS have been distributed to other teaching and research units within Boston University. Although the CNS Department as such has been dissolved, the continuing Graduate Program in Cognitive & Neural Systems will serve doctoral and masters students who are already enrolled in CNS. A description of this program and its requirements can be found on the Graduate School of Arts & Sciences (GRS) Programs website.

This reorganization recognizes impressive strides in neural modeling and neural technology across many diverse academic units at BU, and promotes interactions of faculty from the former CNS Department with colleagues in other units.

Website: cns-web.bu.edu

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  • Contrast-sensitive perceptual grouping and object-based attention in the laminar circuits of primary visual cortex 

    Grossberg, Stephen; Raizada, Rajeev D.S. (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 1999-03)
    Recent neurophysiological studies have shown that primary visual cortex, or Vl, does more than passively process image features using the feedforward filters suggested by Hubel and Wiesel. It also uses horizontal interactions ...
  • A laminar cortical model of stereopsis and 3D surface perception: Closure and da Vinci stereopsis 

    Cao, Yongqiang; Grossberg, Stephen (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2004-09)
    A laminar cortical model of stereopsis and 3D surface perception is developed and simulated. The model describes how monocular and binocular oriented filtering interact with later stages of 3D boundary formation and surface ...
  • PointMap: A real-time memory-based learning system with on-line and post-training pruning 

    Kopco, Norbert; Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2002-12)
    A memory-based learning system called PointMap is a simple and computationally efficient extension of Condensed Nearest Neighbor that allows the user to limit the number of exemplars stored during incremental learning. ...
  • A Wireless Brain-Machine Interface for Real-Time Speech Synthesis 

    Guenther, Frank H.; Brumberg, Jonathan S.; Wright, E. Joseph; Nieto-Castanon, Alfonso; Tourville, Jason A.; Panko, Mikhail; Law, Robert; Siebert, Steven A.; Bartels, Jess L.; Andreasen, Dinal S.; Ehirim, Princewill; Mao, Hui; Kennedy, Philip R. (Public Library of Science, 2009-12-9)
    BACKGROUND. Brain-machine interfaces (BMIs) involving electrodes implanted into the human cerebral cortex have recently been developed in an attempt to restore function to profoundly paralyzed individuals. Current BMIs for ...
  • Hippocampal Conceptual Representations and Their Reward Value 

    Okatan, Murat (Frontiers Research Foundation, 2010-02-03)
  • Mindboggle: Automated Brain Labeling with Multiple Atlases 

    Klein, Arno; Mensh, Brett; Ghosh, Satrajit; Tourville, Jason; Hirsch, Joy (BioMed Central, 2005-10-5)
    BACKGROUND: To make inferences about brain structures or activity across multiple individuals, one first needs to determine the structural correspondences across their image data. We have recently developed Mindboggle as ...
  • Does Binocular Rivalry Emerge from Cortical Mechanisms of 3D Vision 

    Grossberg, Stephen; Yazdanbakhsh, Arash; Swaminathan, Guru; Cao, Yongqiang (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2006-10)
    Under natural viewing conditions, a single depthful percept of the world is consciously seen. When dissimilar images are presented to corresponding regions of the two eyes, binocular rivalry may occur, during which the ...
  • Default ARTMAP 

    Carpenter, Gail (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2003-04)
    The default ARTMAP algorithm and its parameter values specified here define a ready-to-use general-purpose neural network system for supervised learning and recognition.
  • View-Invariant Object Category Learning, Recognition, and Search: How Spatial and Object Attention Are Coordinated Using Surface-Based Attentional Shrouds 

    Fazl, Arash; Grossberg, Stephen; Mingolla, Ennio (Boston University Center for Adaptive Systems and Department of Cognitive and Neural Systems, 2007-04)
  • A Neural Model of Visually Guided Steering, Obstacle Avoidance, and Route Selection 

    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 ...

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