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Daniel Bullock
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2020 – today
- 2023
- [i2]Soichi Hayashi, Bradley Caron, Anibal Solon Heinsfeld, Sophia Vinci-Booher, Brent C. McPherson, Daniel N. Bullock, Giulia Berto, J. Guiomar Niso, Sandra Hanekamp, Daniel Levitas, Lindsey Kitchell, Josiah Leong, Filipi N. Silva, Serge Koudoro, Hanna Willis, Jasleen Jolly, Derek Pisner, Taylor Zuidema, Jan Kurzwaski, Koulla Mikellidou, Aurore Bussalb, Christopher Rorden, Conner Victory, Dheeraj Bhatia, Dogu Baran Aydogan, Frank C. Yeh, Franco Delogu
, Javier Guaje, Jelle Veraart, Jeremy Fischer, Joshua Faskowitz, Maximilien Chaumon, Ricardo Fabrega, David Hunt, Shawn McKee, Shaw T. Brown, Stephanie Heyman, Vittorio Iacovella, Amanda Mejia, Daniele Marinazzo, R. Cameron Craddock, Emanuele Olivetti, Jamie Hanson, Paolo Avesani, Eleftherios Garyfallidis, Daniel Stanzione, James P. Carson, Robert Henschel, David Y. Hancock, Craig A. Stewart, David M. Schnyer, Damian Eke, Russell A. Poldrack, Nathalie George, Holly Bridge, Ilaria Sani, Winrich Freiwald, Aina Puce, Nicholas Port, Franco Pestilli
brainlife.io: A decentralized and open source cloud platform to support neuroscience research. CoRR abs/2306.02183 (2023) - 2021
- [j24]Giulia Bertò
Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation. NeuroImage 224: 117402 (2021) - [j23]Kurt G. Schilling, François Rheault, Laurent Petit, Colin B. Hansen, Vishwesh Nath, Fang-Cheng Yeh
Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset? NeuroImage 243: 118502 (2021)
2010 – 2019
- 2019
- [j22]Omar Zeid
Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences. Neural Networks 120: 86-107 (2019) - [c5]Giulia Bertò
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. ISBI 2019: 135-138 - [i1]Giulia Bertò, Paolo Avesani, Franco Pestilli, Daniel Bullock, Bradley Caron, Emanuele Olivetti:
Anatomically-Informed Multiple Linear Assignment Problems for White Matter Bundle Segmentation. CoRR abs/1907.07077 (2019) - 2018
- [c4]Lindsey Kitchell, Daniel Bullock
Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum. ShapeMI@MICCAI 2018: 195-206 - 2016
- [j21]Yohan J. John, Basilis Zikopoulos
The Emotional Gatekeeper: A Computational Model of Attentional Selection and Suppression through the Pathway from the Amygdala to the Inhibitory Thalamic Reticular Nucleus. PLoS Comput. Biol. 12(2) (2016) - 2012
- [j20]Matthew R. Silver, Stephen Grossberg, Daniel Bullock, Mark H. Histed
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) - [j19]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
- [j18]Richard Ivey, Daniel Bullock, Stephen Grossberg:
A neuromorphic model of spatial lookahead planning. Neural Networks 24(3): 257-266 (2011) - [c3]Oren Civier, Daniel Bullock, Ludo Max, Frank H. Guenther:
Dopamine Excess May Delay Selection of Syllabic Motor Programs: A Modeling Study of Stuttering. ICPhS 2011: 504-507 - 2010
- [j17]Jason W. Bohland
Neural Representations and Mechanisms for the Performance of Simple Speech Sequences. J. Cogn. Neurosci. 22(7): 1504-1529 (2010)
2000 – 2009
- 2009
- [j16]Krishna Srihasam, Daniel Bullock, Stephen Grossberg:
Target Selection by the Frontal Cortex during Coordinated Saccadic and Smooth Pursuit Eye Movements. J. Cogn. Neurosci. 21(8): 1611-1627 (2009) - [j15]Daniel Bullock, Can Ozan Tan
Computational perspectives on forebrain microcircuits implicated in reinforcement learning, action selection, and cognitive control. Neural Networks 22(5-6): 757-765 (2009) - [c2]Daniel Bullock, Can Ozan Tan
Computational implications of microcircuit specializations in forebrain circuits for motivated action selection. IJCNN 2009: 401-407 - 2007
- [j14]Michele Rucci
Integrating robotics and neuroscience: brains for robots, bodies for brains. Adv. Robotics 21(10): 1115-1129 (2007) - 2005
- [j13]Joost C. Dessing, C. (Lieke) E. Peper, Daniel Bullock, Peter Jan Beek
How Position, Velocity, and Temporal Information Combine in the Prospective Control of Catching: Data and Model. J. Cogn. Neurosci. 17(4): 668-686 (2005) - 2004
- [j12]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
- [j11]Antonio Ulloa
Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum. Neural Networks 16(5-6): 521-528 (2003) - [j10]Antonio Ulloa
A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands. Neural Networks 16(8): 1141-1160 (2003) - 2002
- [j9]Patrick van der Smagt
Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics. Appl. Intell. 17(1): 7-10 (2002) - [j8]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) - [j7]Joost C. Dessing, Daniel Bullock, C. (Lieke) E. Peper, Peter Jan Beek
Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs. Neural Networks 15(1): 163-179 (2002)
1990 – 1999
- 1999
- [j6]Daniel Bullock, Raoul M. Bongers, Marnix Lankhorst, Peter Jan Beek
A vector-integration-to-endpoint model for performance of viapoint movements. Neural Networks 12(1): 1-29 (1999) - [c1]Michiro Negishi, Daniel Bullock, Michael Cohen:
A self-organizing two-stream model of language comprehension. IJCNN 1999: 288-292 - 1998
- [j5]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
- [j4]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
- [j3]Daniel Bullock, Stephen Grossberg, Christian Mannes:
A neural network model for cursive script production. Biol. Cybern. 70(1): 15-28 (1993) - [j2]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)
1980 – 1989
- 1988
- [j1]Daniel Bullock, Stephen Grossberg:
Neuromuscular realization of planned arm movement trajectories. Neural Networks 1(Supplement-1): 329-331 (1988)
Coauthor Index
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