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 | 2012 | |
|---|---|---|
| j19 |      | Matthew R. Silver, Stephen Grossberg, Daniel Bullock, Mark H. Histed, Earl K. Miller: A neural model of sequential movement planning and control of eye movements: Item-Order-Rank working memory and saccade selection by the supplementary eye fields. Neural Networks 26: 29-58 (2012) |
| j18 | | Stephen Grossberg, Krishna Srihasam, Daniel Bullock: Neural dynamics of saccadic and smooth pursuit eye movement coordination during visual tracking of unpredictably moving targets. Neural Networks 27: 1-20 (2012) |
| 2011 | ||
| j17 | | Richard Ivey, Daniel Bullock, Stephen Grossberg: A neuromorphic model of spatial lookahead planning. Neural Networks 24(3): 257-266 (2011) |
| 2010 | ||
| j16 | | Jason W. Bohland, Daniel Bullock, Frank H. Guenther: Neural Representations and Mechanisms for the Performance of Simple Speech Sequences. J. Cognitive Neuroscience 22(7): 1504-1529 (2010) |
| 2009 | ||
| j15 | | Krishna Srihasam, Daniel Bullock, Stephen Grossberg: Target Selection by the Frontal Cortex during Coordinated Saccadic and Smooth Pursuit Eye Movements. J. Cognitive Neuroscience 21(8): 1611-1627 (2009) |
| j14 | | Daniel Bullock, Can Ozan Tan, Yohan J. John: Computational perspectives on forebrain microcircuits implicated in reinforcement learning, action selection, and cognitive control. Neural Networks 22(5-6): 757-765 (2009) |
| c1 | | Daniel Bullock, Can Ozan Tan: Computational implications of microcircuit specializations in forebrain circuits for motivated action selection. IJCNN 2009: 401-407 |
| 2007 | ||
| j13 | | Michele Rucci, Daniel Bullock, Fabrizio Santini: Integrating robotics and neuroscience: brains for robots, bodies for brains. Advanced Robotics 21(10): 1115-1129 (2007) |
| 2005 | ||
| j12 | | Joost C. Dessing, C. (Lieke) E. Peper, Daniel Bullock, Peter J. Beek: How Position, Velocity, and Temporal Information Combine in the Prospective Control of Catching: Data and Model. J. Cognitive Neuroscience 17(4): 668-686 (2005) |
| 2004 | ||
| j11 | | Joshua W. Brown, Daniel Bullock, Stephen Grossberg: How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades. Neural Networks 17(4): 471-510 (2004) |
| 2003 | ||
| j10 | | Antonio Ulloa, Daniel Bullock, Bradley J. Rhodes: Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum. Neural Networks 16(5-6): 521-528 (2003) |
| j9 | | Antonio Ulloa, Daniel Bullock: A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands. Neural Networks 16(8): 1141-1160 (2003) |
| 2002 | ||
| j8 | | P. Patrick van der Smagt, Daniel Bullock: Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics. Appl. Intell. 17(1): 7-10 (2002) |
| j7 | | Bradley J. Rhodes, Daniel Bullock: A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model. Appl. Intell. 17(1): 35-48 (2002) |
| j6 | | Joost C. Dessing, Daniel Bullock, C. (Lieke) E. Peper, Peter J. Beek: Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs. Neural Networks 15(1): 163-179 (2002) |
| 1999 | ||
| j5 | | Daniel Bullock, Raoul M. Bongers, Marnix Lankhorst, Peter J. Beek: A vector-integration-to-endpoint model for performance of viapoint movements. Neural Networks 12(1): 1-29 (1999) |
| 1998 | ||
| j4 | | Jacob J. van Heijst, Johan E. Vos, Daniel Bullock: Development in a biologically inspired spinal neural network for movement control. Neural Networks 11(7-8): 1305-1316 (1998) |
| 1994 | ||
| j3 | | Daniel Bullock, John C. Fiala, Stephen Grossberg: A neural model of timed response learning in the cerebellum. Neural Networks 7(6-7): 1101-1114 (1994) |
| 1993 | ||
| j2 | | Daniel Bullock, Stephen Grossberg, Christian Mannes: A neural network model for cursive script production. Biological Cybernetics 70(1): 15-28 (1993) |
| j1 | | Stephen Grossberg, Frank H. Guenther, Daniel Bullock, Douglas N. Greve: Neural representations for sensory-motor control, II: Learning a head-centered visuomotor representation of 3-D target position. Neural Networks 6(1): 43-67 (1993) |
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