D. Bullock

发表

Metabotropic Glutamate Receptor Activation in Cerebellar Purkinje Cells as Substrate for Adaptive Timing of the Classically Conditioned Eye-Blink Response

S. Grossberg, J. Fiala, D. Bullock, 1996, The Journal of Neuroscience.

Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation.

S. Grossberg, D. Bullock, 1988, Psychological review.

Self-Organizing Neural Architectures for Eye Movements, Arm Movements, and Eye-Arm Coordination

S. Grossberg, D. Bullock, S. Grossberg, 1988 .

How the Basal Ganglia Use Parallel Excitatory and Inhibitory Learning Pathways to Selectively Respond to Unexpected Rewarding Cues

Joshua W. Brown, S. Grossberg, D. Bullock, 1999, The Journal of Neuroscience.

A Self-Organizing Neural Model of Motor Equivalent Reaching and Tool Use by a Multijoint Arm

S. Grossberg, D. Bullock, F. Guenther, 1993, Journal of Cognitive Neuroscience.

A neural model of cerebellar learning for arm movement control: cortico-spino-cerebellar dynamics.

S. Grossberg, D. Bullock, J. Contreras-Vidal, 1997, Learning & memory.

Dopaminergic and non-dopaminergic value systems in conditioning and outcome-specific revaluation

S. Grossberg, D. Bullock, Mark R Dranias, 2008, Brain Research.

Cortical networks for control of voluntary arm movements under variable force conditions.

S. Grossberg, D. Bullock, P. Cisek, 1998, Cerebral cortex.

A Neural Model of Multimodal Adaptive Saccadic Eye Movement Control by Superior Colliculus

S. Grossberg, D. Bullock, K. Roberts, 1997, The Journal of Neuroscience.

How laminar frontal cortex and basal ganglia circuits interact to control planned and reactive saccades

Stephen Grossberg, Daniel Bullock, Joshua W. Brown, 2004, Neural Networks.

A neural network model of serial order recall from short-term memory

Daniel Bullock, Ian Boardman, D. Bullock, 1991, IJCNN-91-Seattle International Joint Conference on Neural Networks.

Synchronous Oscillatory Neural Ensembles for Rules in the Prefrontal Cortex

Eric L. Denovellis, E. Miller, D. Bullock, 2012, Neuron.

Adaptive force generation for precision-grip lifting by a spectral timing model of the cerebellum

Daniel Bullock, Antonio Ulloa, Bradley J. Rhodes, 2003, Neural Networks.

How Spinal Neural Networks Reduce Discrepancies between Motor Intention and Motor Realization

D. Bullock, J. Contreras-Vidal, 1991 .

Neural network models of motor timing and coordination

J. Fiala, D. Bullock, 1996 .

Neural dynamics of planned arm movements: emergent invariants and speed-accuracy properties during trajectory formation

Daniel Bullock, Stephen Grossberg, S. Grossberg, 1988 .

Chapter 11 Vite and Flete: Neural Modules for Trajectory Formation and Postural Control

Daniel Bullock, Stephen Grossberg, S. Grossberg, 1989 .

Proceedings of the Third International Workshop on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems.

Christian Balkenius, Luc Berthouze, C. G. Prince, 2004 .

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2020, NeuroImage.

Associative white matter connecting the dorsal and ventral posterior human cortex

D. Bullock, C. Caiafa, F. Pestilli, 2019, Brain Structure and Function.

Can artificial cerebellar models compete to control robots

Daniel Bullock, Patrick van der Smagt, P. van der Smagt, 1997 .

A Cortico-Spinal Model of Reaching and Proprioception under Multiple Task Constraints

S. Grossberg, D. Bullock, P. Cisek, 1998, Journal of Cognitive Neuroscience.

Motor Skill Development and Neural Networks for Position Code Invariance under Speed and Compliance Rescaling

S. Grossberg, D. Bullock, 1990 .

Human white matter microstructure predicts elite sports participation

D. Bullock, H. Cheng, Brent McPherson, 2022 .

Neural representations for sensory-motor control, I: Head-centered 3-D target positions from opponent eye commands.

S. Grossberg, D. Bullock, F. Guenther, 1993, Acta psychologica.

Reply to comments on ‘Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling’

S. Grossberg, D. Bullock, 1991 .

A Local Circuit Model of Learned Striatal and Dopamine Cell Responses under Probabilistic Schedules of Reward

D. Bullock, C. Tan, 2008, The Journal of Neuroscience.

A dopamine-acetylcholine cascade: simulating learned and lesion-induced behavior of striatal cholinergic interneurons.

D. Bullock, C. Tan, 2008, Journal of neurophysiology.

Neural dynamics underlying impaired autonomic and conditioned responses following amygdala and orbitofrontal lesions.

Stephen Grossberg, Daniel Bullock, S. Grossberg, 2008, Behavioral neuroscience.

Adaptive neural networks for control of movement trajectories invariant under speed and force rescaling

Stephen Grossberg, Daniel Bullock, S. Grossberg, 1991 .

Anatomy and computational modeling of networks underlying cognitive-emotional interaction

Daniel Bullock, Helen Barbas, Yohan J. John, 2013, Front. Hum. Neurosci..

Adaptive neural models of queuing and timing in fluent action

Daniel Bullock, D. Bullock, 2004, Trends in Cognitive Sciences.

Do reaches in the dark shed sufficient light on internal representations?

D. Bullock, F. Guenther, D. Greve, 1992, Behavioral and Brain Sciences.

Isoperimetric Partitioning: A New Algorithm for Graph Partitioning

D. Bullock, 2002 .

A Two-Process Model for Control of Legato Articulation across a Wide Range of Tempos during Piano Performance

Daniel Bullock, J. Pieter Jacobs, D. Bullock, 1998 .

Visual information routes in the posterior dorsal and ventral face network studied with intracranial neurophysiology, and white matter tract endpoints

D. Bullock, A. Puce, N. George, 2020, bioRxiv.

Visual Attention Deficits in Schizophrenia Can Arise From Inhibitory Dysfunction in Thalamus or Cortex

Yohan J. John, D. Bullock, H. Barbas, 2018, Computational Psychiatry.

Neuromuscular realization of planned arm movement trajectories

Stephen Grossberg, Daniel Bullock, S. Grossberg, 1988, Neural Networks.

ADAPTIVE BEHAVIORAL PHENOTYPES ENABLED BY SPINAL INTERNEURON CIRCUITS : MAKING SENSE THE DARWINIAN WAY

Daniel Bullock, José L. Contreras-Vidal, D. Bullock, 1992 .

Shape Analysis of White Matter Tracts via the Laplace-Beltrami Spectrum

Daniel Bullock, Franco Pestilli, Soichi Hayashi, 2018, ShapeMI@MICCAI.

Guest Editorial for Special Issue on Scalable Applications of Neural Networks to Robotics

Daniel Bullock, Patrick van der Smagt, D. Bullock, 2002, Applied Intelligence.

Timing implications of metabotropic mechanisms for cerebellar learning

Daniel Bullock, John C. Fiala, J. Fiala, 1996 .

A neural model of timed response learning in the cerebellum

Stephen Grossberg, Daniel Bullock, John C. Fiala, 1994, Neural Networks.

Computational perspectives on forebrain microcircuits implicated in reinforcement learning, action selection, and cognitive control

Daniel Bullock, Can Ozan Tan, Yohan J. John, 2009, Neural Networks.

Neural dynamics of saccadic and smooth pursuit eye movement coordination during visual tracking of unpredictably moving targets

Stephen Grossberg, Daniel Bullock, Krishna Srihasam, 2012, Neural Networks.

The human endogenous attentional control network includes a ventro-temporal cortical node

D. Bullock, M. Fahle, W. Freiwald, 2021, Nature Communications.

The human endogenous attentional control network includes a ventro-temporal cortical node

D. Bullock, M. Fahle, W. Freiwald, 2021, Nature communications.

Reading and writing: the evolution of molecular pain genetics.

D. Bullock, M. Costigan, A. Jesuthasan, 2019, Pain.

Computational modeling of stuttering caused by impairments in a basal ganglia thalamo-cortical circuit involved in syllable selection and initiation

Daniel Bullock, Frank H. Guenther, Oren Civier, 2013, Brain and Language.

Pain Analgesic Developments in the Genomic Era

D. Bullock, M. Costigan, A. Jesuthasan, 2020 .

Development of white matter tracts between and within the dorsal and ventral streams

D. Bullock, K. James, F. Pestilli, 2021, Brain Structure and Function.

Bundle analytics, a computational framework for investigating the shapes and profiles of brain pathways across populations

Daniel Bullock, Franco Pestilli, Ariel Rokem, 2020, Scientific Reports.

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Christophe Lenglet, Vince D. Calhoun, Chun-Hung Yeh, 2020, NeuroImage.

The Emotional Gatekeeper: A Computational Model of Attentional Selection and Suppression through the Pathway from the Amygdala to the Inhibitory Thalamic Reticular Nucleus

Daniel Bullock, Helen Barbas, Yohan J. John, 2016, PLoS Comput. Biol..

A neuromorphic model of spatial lookahead planning

Stephen Grossberg, Daniel Bullock, Richard Ivey, 2011, Neural Networks.

A vector-integration-to-endpoint model for performance of viapoint movements

Daniel Bullock, Peter J. Beek, Raoul M. Bongers, 1999, Neural Networks.

How Neural Networks Factor Problems of Sensory-Motor Control

Daniel Bullock, D. Bullock, 1988, 1988 American Control Conference.

Neural Dynamics of Learning and Performance of Fixed Sequences: Latency Pattern Reorganizations and the N-STREAMS Model

Daniel Bullock, Bradley J. Rhodes, D. Bullock, 2002 .

Target Selection by the Frontal Cortex during Coordinated Saccadic and Smooth Pursuit Eye Movements

Stephen Grossberg, Daniel Bullock, Krishna Srihasam, 2009, Journal of Cognitive Neuroscience.

A Self-OqpnMng Neural M o d e l of Motor EQuhalent Reaching and Tool Use by a M d d j o i n t Arm

S. Grossberg, D. Bullock, H., 2007 .

Neural representations for sensory-motor control, II: Learning a head-centered visuomotor representation of 3-D target position

Stephen Grossberg, Daniel Bullock, Frank H. Guenther, 1993, Neural Networks.

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

Stephen Grossberg, Daniel Bullock, Earl K. Miller, 2012, Neural Networks.

Inertial Load Compensation by a Model Spinal Circuit During Single Joint Movement

Stephen Grossberg, Daniel Bullock, Jose Luis Contreas-Vidal, 1995 .

Graded striatal learning factors enable switches between goal-directed and habitual modes, by reassigning behavior control to the fastest-computed representation that predicts reward

Sean Patrick, Daniel Bullock, D. Bullock, 2019, bioRxiv.

Dopamine and Its Actions in the Basal Ganglia System

D. Bullock, 2016 .

Neural Representations and Mechanisms for the Performance of Simple Speech Sequences

Daniel Bullock, Frank H. Guenther, Jason W. Bohland, 2010, Journal of Cognitive Neuroscience.

Computational implications of microcircuit specializations in forebrain circuits for motivated action selection

Daniel Bullock, Can Ozan Tan, D. Bullock, 2009, 2009 International Joint Conference on Neural Networks.

Can the apparent adaptation of dopamine neurons’ mismatch sensitivities be reconciled with their computation of reward prediction errors?

Daniel Bullock, Can Ozan Tan, Mark Dranias, 2008, Neuroscience Letters.

Modeling cortico-subcortical interactions during planning, learning, and voluntary control of actions

D. Bullock, D. Bullock, 2005, Proceedings. 2005 IEEE International Joint Conference on Neural Networks, 2005..

From parallel sequence representations to calligraphic control: a conspiracy of neural circuits.

Daniel Bullock, D. Bullock, 2004, Motor control.

Modelling the control of interceptive actions.

P J Beek, J C Dessing, C E Peper, 2003, Philosophical transactions of the Royal Society of London. Series B, Biological sciences.

Competitive Queing for Planning and Serial Performance

Daniel Bullock, Bradley Rhodes, D. Bullock, 2002 .

The Vite Model: A Neural Command Circuit for Generating Arm and Articulator Trajectories,

Stephen Grossberg, Daniel Bullock, S. Grossberg, 1988 .

Motorneuron Recruitment

Daniel Bullock, D. Bullock, Motoneuron recruitment, 2001 .

Development in a biologically inspired spinal neural network for movement control

Daniel Bullock, Johan E. Vos, Jacob J. van Heijst, 1998, Neural Networks.

Equilibria and dynamics of a neural network model for opponent muscle control

Stephen Grossberg, Daniel Bullock, José L. Contreras-Vidal, 1993 .

SPINAL NETWORK COMPUTATIONS ENABLE INDEPENDENT CONTROL OF MUSCLE LENGTH AND JOINT COMPLIANCE

Stephen Grossberg, Daniel Bullock, S. Grossberg, 1990 .

Neural Representations for Sensory-Motor Control, III: Learning a Body-Centered Representation of 3-D Target Position

Daniel Bullock, Frank H. Guenther, Douglas N. Greve, 1993 .

Moving in time: Simulating how neural circuits enable rhythmic enactment of planned sequences

Daniel Bullock, Omar Zeid, D. Bullock, 2019, Neural Networks.

Assessing the Function of Motor Cortex: Single-Neuron Models of How Neural Response Is Modulated by Limb Biomechanics

Stephen Grossberg, Daniel Bullock, Andrea Green, 2008, Neuron.

A model of cerebellar adaptation of grip forces during lifting

Daniel Bullock, Antonio Ulloa, Bradley J. Rhodes, 2003, Proceedings of the International Joint Conference on Neural Networks, 2003..

Emergence of tri-phasic muscle activation from the nonlinear interactions of central and spinal neural network circuits

Stephen Grossberg, Daniel Bullock, S. Grossberg, 1992 .

Toward a Reconstructive Understanding of Behavior: A Response to Reese

D. Bullock, 1996, The Behavior analyst.

Cortical Models for Movement Control

Daniel Bullock, D. Bullock, 2001 .

Learning and production of movement sequences: behavioral, neurophysiological, and modeling perspectives.

Daniel Bullock, Bruno B Averbeck, Willem B Verwey, 2004, Human movement science.

A neural network model for cursive script production

Stephen Grossberg, Daniel Bullock, Christian Mannes, 1993, Biological Cybernetics.

The VITEWRITE Model of Handwriting Production

Stephen Grossberg, Daniel Bullock, Christian Mannes, 1993 .

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

David Y. Hancock, D. Bullock, O. Sporns, 2019, Scientific Data.

Visual Information Routes in the Posterior Dorsal and Ventral Face Network Studied with Intracranial Neurophysiology and White Matter Tract Endpoints

D. Bullock, Aina Puce, N. George, 2021, Cerebral cortex.

Collegiate athlete brain data for white matter mapping and network neuroscience

Sharlene D. Newman, Franco Pestilli, Hu Cheng, 2020, bioRxiv.

Integrating robotics and neuroscience: brains for robots, bodies for brains

Daniel Bullock, Michele Rucci, Fabrizio Santini, 2007, Adv. Robotics.

Emotional intensity can enrich or degrade memories: impact of the amygdalar pathway on hippocampus through inhibitory neurons

Yohan J. John, D. Bullock, H. Barbas, 2022, bioRxiv.

A neural network simulating human reach-grasp coordination by continuous updating of vector positioning commands

Daniel Bullock, Antonio Ulloa, D. Bullock, 2003, Neural Networks.

A model of movement coordinates in the motor cortex: posture-dependent changes in the gain and direction of single cell tuning curves.

S Grossberg, R Ajemian, D Bullock, 2001, Cerebral cortex.

A Taxonomy of the Brain's White Matter: Twenty-One Major Tracts for the 21st Century.

Sarah R. Heilbronner, D. Bullock, Wei-jun Tang, 2022, Cerebral cortex.

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

David Y. Hancock, Josiah K. Leong, Shawn T. Brown, 2023, ArXiv.

Up–Down Reader: An Open Source Program for Efficiently Processing 50% von Frey Thresholds

Daniel Bullock, Michael Costigan, Rafael Gonzalez-Cano, 2018, Front. Pharmacol..

Dopamine Excess May Delay Selection of Syllabic Motor Programs: A Modeling Study of Stuttering

Daniel Bullock, Frank H. Guenther, Oren Civier, 2011, ICPhS.

Classifyber, a robust streamline-based linear classifier for white matter bundle segmentation

Daniel Bullock, Paolo Avesani, Franco Pestilli, 2020, NeuroImage.

Prospective control of manual interceptive actions: comparative simulations of extant and new model constructs

Daniel Bullock, Joost C. Dessing, Peter J. Beek, 2001, Neural Networks.

A neural circuit model for prospective control of interceptive reaching

Daniel Bullock, Joost C. Dessing, Peter Beck, 2001 .

A self-organizing neural network model for redundant sensory-motor control, motor equivalence, and tool use

Stephen Grossberg, Daniel Bullock, Frank H. Guenther, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

brainlife.io: A decentralized and open source cloud platform to support neuroscience research

David Y. Hancock, Josiah K. Leong, Shawn T. Brown, 2023, Nature methods.

2009 Special Issue: Computational perspectives on forebrain microcircuits implicated in reinforcement learning, action selection, and cognitive control

Yohan J. John, D. Bullock, C. Tan, 2009 .

Neural Representations and Mechanisms for the Performance of Simple Speech Sequences

D. Bullock, F. Guenther, J. Bohland, 2010, Journal of Cognitive Neuroscience.

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

Andrew J. Saykin, Daniel Bullock, Olaf Sporns, 2018, Scientific Data.

Visual Attention Deficits in Schizophrenia Can Arise From Inhibitory Dysfunction in Thalamus or Cortex

Yohan J. John, D. Bullock, H. Barbas, 2018, Computational Psychiatry.

A Self-organizing Neural Network for Learning A Body-centered Invariant Representation of 3-D Target Position

Stephen Grossberg, Daniel Bullock, Frank H. Guenther, 1993 .

Neural representations for sensory-motor control, II: Learning a head-centered visuomotor representation of 3-D target position

S. Grossberg, D. Bullock, F. Guenther, 1993, Neural Networks.

Metabotropic Glutamate Receptor Activation in Cerebellar Purkinje Cells as Substrate for Adaptive Timing of the Classically Conditioned Eye-Blink Response

S. Grossberg, J. Fiala, D. Bullock, 1996, The Journal of Neuroscience.

A Scalable Model of Cerebellar Adaptive Timing and Sequencing: The Recurrent Slide and Latch (RSL) Model

Daniel Bullock, Bradley J. Rhodes, D. Bullock, 2002, Applied Intelligence.

A dopamine-acetylcholine cascade: simulating learned and lesion-induced behavior of striatal cholinergic interneurons.

D. Bullock, C. Tan, 2008, Journal of neurophysiology.

How Position, Velocity, and Temporal Information Combine in the Prospective Control of Catching: Data and Model

Daniel Bullock, Joost C. Dessing, Peter J. Beek, 2005, Journal of Cognitive Neuroscience.

Neuropeptide co-release with GABA may explain functional non-monotonic uncertainty responses in dopamine neurons

Daniel Bullock, Can Ozan Tan, D. Bullock, 2008, Neuroscience Letters.