 | 2012 |
| 20 |  | 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) |
| 19 |  | 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 |
| 18 |  | Richard Ivey,
Daniel Bullock,
Stephen Grossberg:
A neuromorphic model of spatial lookahead planning.
Neural Networks 24(3): 257-266 (2011) |
| 2010 |
| 17 |  | 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 |
| 16 |  | Daniel Bullock,
Can Ozan Tan:
Computational implications of microcircuit specializations in forebrain circuits for motivated action selection.
IJCNN 2009: 401-407 |
| 15 |  | 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) |
| 14 |  | 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) |
| 2007 |
| 13 |  | Michele Rucci,
Daniel Bullock,
Fabrizio Santini:
Integrating robotics and neuroscience: brains for robots, bodies for brains.
Advanced Robotics 21(10): 1115-1129 (2007) |
| 2005 |
| 12 |  | 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 |
| 11 |  | 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 |
| 10 |  | 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) |
| 9 |  | 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 |
| 8 |  | 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) |
| 7 |  | 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) |
| 6 |  | 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 |
| 5 |  | 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 |
| 4 |  | 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 |
| 3 |  | 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 |
| 2 |  | Daniel Bullock,
Stephen Grossberg,
Christian Mannes:
A neural network model for cursive script production.
Biological Cybernetics 70(1): 15-28 (1993) |
| 1 |  | 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) |