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Department Of Cognitive And Neural Systems Boston University | 論文
- Learning sound categories : A neural model and supporting experiments( THE VOWEL : From Chiba and Kajiyama to current issues)
- A vector-integration-to-endpoint model for performance of viapoint movements
- Topographic shear and the relation of ocular dominance columns to orientation columns in primate and cat visual cortex
- Studies of Temperature Elevation Due to the Pre-flame Reaction in a Spark-ignition Engine with CARS Temperature Measurements Using Fuels of Various Octane Numbers
- (2-17) Studies of Temperature Elevation Due to the Pre-Flame Reaction in a Spark-Ignition Engine with CARS Temperature Measurements Using Fuels of Various Octane Numbers((SI-5)S. I. Engine Combustion 5-In-Cylinder A/F and Temperatures)
- A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands
- ARTSTREAM : a neural network model of auditory scene analysis and source segregation
- Dynamics of a Winner-Take-All Neural Network
- A neural model of cortico-cerebellar interactions during attentive imitation and predictive learning of sequential handwriting movements
- The V1-V2-V3 complex : quasiconformal dipole maps in primate striate and extra-striate cortex
- Self-organizing information fusion and hierarchical knowledge discovery : a new framework using ARTMAP neural networks
- Why Do We Still Not Have Cardioprotective Drugs?
- Integrating robotics and neuroscience : brains for robots, bodies for brains
- A neural network for enhancing boundaries and surfaces in synthetic aperture radar images
- Neural models of motion integration and segmentation
- How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades
- Modeling goal-directed spatial navigation in the rat based on physiological data from the hippocampal formation
- Neuromodulation, theta rhythm and rat spatial navigation
- ARTMAP neural networks for information fusion and data mining : map production and target recognition methodologies
- Space, time and learning in the hippocampus : How fine spatial and temporal scales are expanded into population codes for behavioral control