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gregor.schoener@ini.rub.de +49-234-32-27965

Prof. Dr. Gregor Schöner

Institut für Neuroinformatik

  • Cognitive Neuroscience
  • Embodied Cognition
  • Learning
  • Memory
  • Robotics

Institut für Neuroinformatik
Ruhr-Universität Bochum
Universitätsstraße 150
Building NB, Room NB 3/31

D-44801 Bochum, Germany

gregor.schoener@ini.rub.de

+49-234-32-27965

Personal Homepage

Curriculum Vitae

I would like to understand how embodied and situated nervous systems develop cognition. To do that, my colleagues and I have developed the theoretical framework of Dynamical Field Theory. In a set of close theory-experiment collaborations we validate the concept of the theory and systematically build an account of action, perception, and embodied cognition. Exemplary studies include multi-degree of freedom movements, learning of motor skills, perception of motion, working memory for action, space and visual features, sensory-motor decision making and the development of early cognition and motor behavior. In a second line of research we develop of autonomous robots inspired by these same theoretical principles. The main emphasis is on service robotics, in which autonomous robots interact with human users.

I work toward that vision as a researcher, as group leader, and collaborator. I also teach as a professor, and am the director of the Institute, and have all kinds of other obligations like editorships, writing letters for students, and reviewing grants. As a result of such multi-tasking, I struggle to keep up with email. So please don't hesitate to remind me if I am slow to respond and do send me an email a second or third time if the response is long in coming. Thank you for your understanding. 

Selected Publications

    2019

  • The Dynamics of Neural Populations Capture the Laws of the Mind
    Schöner, G.
    Topics in Cognitive Science
    reprint

    • 2002

  • Dynamic field theory of movement preparation.
    Erlhagen, W., & Schöner, G.
    Psychological Review, 109(3), 545–572
    reprint

    2023

  • Neural dynamic foundations of a theory of higher cognition: the case of grounding nested phrases
    Sabinasz, D., Richter, M., & Schöner, G.
    Cognitive Neurodynamics
    reprint
  • Dynamical Systems Approaches to Cognition
    Schöner, G.
    In Sun, Ron (Ed.), The Cambridge Handbook of Computational Cognitive Sciences (2nd ed.) Cambridge University Press
    proofs

    • 2022

  • A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases
    Sabinasz, D., & Schöner, G.
    Topics in Cognitive Science
    A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases
  • Habituation and Dishabituation in Motor Behavior: Experiment and Neural Dynamic Model
    Aerdker, S., Feng, J., & Schöner, G.
    Frontiers in Psychology, 13, 717669
    preprint
  • Bridging DFT and DNNs: A neural dynamic process model of scene representation, guided visual search and scene grammar in natural scenes
    Grieben, R., & Schöner, G.
    In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society
    preprint
  • A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object Pairs
    Hesse, M., Sabinasz, D., & Schöner, G.
    In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society
    A Perceptually Grounded Neural Dynamic Architecture Establishes Analogy Between Visual Object Pairs
  • A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases
    Sabinasz, D., & Schöner, G.
    In J. Culbertson, Perfors, A., Rabagliati, H., & Ramenzoni, V. (Eds.), Proceedings of the 44th Annual Conference of the Cognitive Science Society
    A Neural Dynamic Model Perceptually Grounds Nested Noun Phrases

    • 2021

  • How do neural processes give rise to cognition? Simultaneously predicting brain and behavior with a dynamic model of visual working memory
    Buss, A. T., Magnotta, V. A., Penny, W., Schöner, G., Huppert, T. J., & Spencer, J. P.
    Psychological review, 128(2), 362–395
    preprint
  • A neural dynamic process model of combined bottom-up and top-down guidance in triple conjunction visual search
    Grieben, R., & Schöner, G.
    In T. Fitch, Lamm, C., Leder, H., & Teßmar-Raible, K. (Eds.), Proceedings of the 43rd Annual Conference of the Cognitive Science Society
    preprint
  • A neural dynamic model for the perceptual grounding of spatial and movement relations
    Richter, M., Lins, J., & Schöner, G.
    Cognitive Science, 45(10), e13045
    preprint

    • 2020

  • Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence
    Grieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.
    Attention, Perception, & Psychophysics
    SpringerLink (Open Access)
  • Grounding Spatial Language in Perception by Combining Concepts in a Neural Dynamic Architecture
    Sabinasz, D., Richter, M., Lins, J., & Schöner, G.
    In S. Denison, Mack, M., Xu, Y., & Armstrong, B. C. (Eds.), Proceedings of the 42nd Annual Conference of the Cognitive Science Society (pp. 620–626) Cognitive Science Society
    reprint
  • A neural dynamic network drives an intentional agent that autonomously learns beliefs in continuous time
    Tekülve, J., & Schöner, G.
    IEEE Transactions on Cognitive and Developmental Systems, 1–12
    preprint

    • 2019

  • The Dynamics of Neural Populations Capture the Laws of the Mind
    Schöner, G.
    Topics in Cognitive Science
    reprint
  • Computer mouse tracking reveals motor signatures in a cognitive task of spatial language grounding
    Lins, J., & Schöner, G.
    Attention, Perception, and Psychophysics, 81(7), 2424–2460
    reprint
  • A process account of the uncontrolled manifold structure of joint space variance in pointing movements
    Martin, V., Reimann, H., & Schöner, G.
    Biological Cybernetics, 113(3), 293–307
    reprint
  • Reaching for objects : a neural process account in a developmental perspective
    Schöner, G., Tekülve, J., & Zibner, S.
    In D. Corbetta & Santello, M. (Eds.), Reach-to-Grasp Behavior: Brain, Behavior and Modelling across the Life Span (pp. 281–318) Taylor & Francis
    preprint
  • Autonomous Sequence Generation for a Neural Dynamic Robot: Scene Perception, Serial Order, and Object-Oriented Movement
    Tekülve, J., Fois, A., Sandamirskaya, Y., & Schöner, G.
    Frontiers in Neurorobotics, 13, 95
    Online Article
  • Neural dynamic concepts for intentional systems
    Tekülve, J., & Schöner, G.
    In 41th Annual Conference of the Cognitive Science Society (CogSci 2019)
    article (pdf)
  • Autonomously learning beliefs is facilitated by a neural dynamic network driving an intentional agent
    Tekülve, J., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-EpiRob), 2019 Joint IEEE International Conference on (pp. 143–150) IEEE
    article (pdf)

    • 2018

  • How infants′ reaches reveal principles of sensorimotor decision making
    Dineva, E., & Schöner, G.
    Connection Science, 30(1), 53–80
    reprint
  • Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time
    Grieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.
    In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society
  • Anticipatory coarticulation in non-speeded arm movements can be motor-equivalent, carry-over coarticulation always is
    Hansen, E., Grimme, B., Reimann, H., & Schöner, G.
    Experimental Brain Research
    reprint
  • A Neural Dynamic Architecture That Autonomously Builds Mental Models
    Kounatidou, P., Richter, M., & Schöner, G.
    In Proceedings of the 40th Annual Conference of the Cognitive Science Society (pp. 1–6)
    reprint

    • 2017

  • A Neural Dynamic Architecture for Reaching and Grasping Integrates Perception and Movement Generation and Enables On-Line Updating
    Knips, G., Zibner, S. K. U., Reimann, H., & Schöner, G.
    Frontiers in Neurorobotics, 11(March), 9:1–14
    reprint
  • Mouse Tracking Shows Attraction to Alternative Targets While Grounding Spatial Relations
    Lins, J., & Schöner, G.
    In Proceedings of the 39th Annual Conference of the Cognitive Science Society (to appear) Austin, TX: Cognitive Science Society
  • A Neural-Dynamic Architecture for Concurrent Estimation of Object Pose and Identity
    Lomp, O., Faubel, C., & Schöner, G.
    Frontiers in Neurorobotics, 11(April), 23
    reprint
  • A multi-joint model of quiet, upright stance accounts for the “uncontrolled manifold” structure of joint variance
    Reimann, H., & Schöner, G.
    Biological Cybernetics, 111(5-6), 389–403
    reprint
  • A neural dynamic model generates descriptions of object-oriented actions
    Richter, M., Lins, J., & Schöner, G.
    Topics in Cognitive Science, 9(1), 35–47
    A neural dynamic model generates descriptions of object-oriented actions (PDF)
  • Reaching for objects : a neural process account in a developmental perspective
    Schöner, G., Tekülve, J., & Zibner, S.
    In D. Corbetta & Santello, M. (Eds.), The selection and production of goal-directed behaviors: Neural correlates, development, learning, and modeling of reach-to-grasp movements Taylor & Francis
    preprint
  • Dynamic Neural Fields with Intrinsic Plasticity
    Strub, C., Schöner, G., Wörgötter, F., & Sandamirskaya, Y.
    Frontiers in Computational Neuroscience, 11(August), 74
    reprint

    • 2016

  • Nonlinear dynamics in the perceptual grouping of connected surfaces
    Hock, H. S., & Schöner, G.
    Vision Research, 126, 80–96
    reprint
  • Developing Dynamic Field Theory Architectures for Embodied Cognitive Systems with cedar
    Lomp, O., Richter, M., Zibner, S. K. U., & Schöner, G.
    Frontiers in Neurorobotics, 10(November), 14
    reprint
  • Coordination of muscle torques stabilizes upright standing posture: an UCM analysis
    Park, E., Reimann, H., & Schöner, G.
    Experimental Brain Research, 234(6), 1757–1767
    preprint
  • Separating Timing, Movement Conditions and Individual Differences in the Analysis of Human Movement
    Raket, L. L., Grimme, B., Schöner, G., Igel, C., & Markussen, B.
    PLoS Computational Biology, 12(9), 1–27
    reprint
  • Temporal asymmetry in dark-bright processing initiates propagating activity across primary visual cortex
    Rekauzke, S., Nortmann, N., Staadt, R., Hock, H. S., Schöner, G., & Jancke, D.
    J Neurosci, 36(6), 1902–1913
    pdf
  • A neural dynamic model parses object-oriented actions
    Richter, M., Lins, J., & Schöner, G.
    In A. Papafragou, Grodner, D., Mirman, D., & Trueswell, J. C. (Eds.), Proceedings of the 38th Annual Conference of the Cognitive Science Society (pp. 1931–1936) Austin, TX: Cognitive Science Society
    pdf
  • A neural process model of learning to sequentially organize and activate pre-reaches
    Tekülve, J., Zibner, S. K. U., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2016 Joint IEEE International Conferences on
    A neural process model of learning to sequentially organize and activate pre-reaches

    • 2015

  • Carry-over coarticulation in joint angles
    Hansen, E., Grimme, B., Reimann, H., & Schöner, G.
    Experimental Brain Research, 233(9), 2555–2569
    reprint
  • Parsing of action sequences: A neural dynamics approach
    Lobato, D., Sandamirskaya, Y., Richter, M., & Schöner, G.
    Paladyn, Journal of Behavioral Robotics, 6(1), 119–135
    reprint
  • Task-specific stability of abundant systems: Structure of variance and motor equivalence
    Mattos, D., Schöner, G., Zatsiorsky, V. M., & Latash, M. L.
    Neuroscience, 310, 600–615
    reprint
  • Motor equivalence during multi-finger accurate force production
    Mattos, D., Schöner, G., Zatsiorsky, V. M., & Latash, M. L.
    Experimental Brain Research, 233, 487–502
    pdf
  • The Dynamics of Neural Activation Variables
    Reimann, H., Lins, J., & Schöner, G.
    Paladyn, Journal of Behavioral Robotics, 6(1), 57–70
    pdf
  • The Neural Dynamics of Goal-Directed Arm Movements: A Developmental Perspective
    Zibner, S. K. U., Tekülve, J., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 154–161)
    pdf
  • The Sequential Organization of Movement is Critical to the Development of Reaching: A Neural Dynamics Account
    Zibner, S. K. U., Tekülve, J., & Schöner, G.
    In Development and Learning and Epigenetic Robotics (ICDL-Epirob), 2015 Joint IEEE International Conferences on (pp. 39–46)
    pdf

    • 2014

  • A comparison between reactive potential fields and Attractor Dynamics
    Hernandes, A. C., Guerrero, H. B., Becker, M., Jokeit, J. -S., & Schöner, G.
    Circuits and Systems (CWCAS), 2014 IEEE 5th Colombian Workshop on
    reprint
  • A neural dynamics architecture for grasping that integrates perception and movement generation and enables on-line updating
    Knips, G., Zibner, S. K. U., Reimann, H., Popova, I., & Schöner, G.
    In International Conference on Intelligent Robots and Systems (IROS) (pp. 646–653)
  • Reaching and grasping novel objects: Using neural dynamics to integrate and organize scene and object perception with movement generation
    Knips, G., Zibner, S. K. U., Reimann, H., Popova, I., & Schöner, G.
    In International Conference on Development and Learning and on Epigenetic Robotics (ICDL-EPIROB) (pp. 416–423)
  • Neural Fields
    Lins, J., & Schöner, G.
    In S. Coombes, beim Graben, P., Potthast, R., & , J. W. (Eds.) (pp. 319–339) Springer Berlin Heidelberg
    pdf
  • Instance-based object recognition with simultaneous pose estimation using keypoint maps and neural dynamics
    Lomp, O., Terzić, K., Faubel, C., du Buf, J. M. H., & Schöner, G.
    In International Conference on Artificial Neural Networks (pp. 451–458) Springer
  • Reinforcement-Driven Shaping of Sequence Learning in Neural Dynamics
    Luciw, M., Kazerounian, S., Sandamirskaya, Y., Schöner, G., & Schmidhuber, J.
    In Simulation of Adaptive Behavior, SAB
    pdf
  • Change occurs when body meets environment: A review of the embodied nature of development
    Maruyama, S., Dineva, E., Spencer, J. P., & Schöner, G.
    Japanese Psychological Research, 56, 385–401
    pdf
  • Contrasting accounts of direction and shape perception in short-range motion: Counterchange compared with motion energy detection.
    Norman, J., Hock, H., & Schoner, G.
    Attention, perception & psychophysics, 76, 1350–70
    pdf
  • A neural dynamics to organize timed movement : Demonstration in a robot ball bouncing task
    Oubbati, F., Richter, M., & Schöner, G.
    In 4th International Conference on Development and Learning and on Epigenetic Robotics (pp. 291–298) Palazzo Ducale, Genoa, Italy
    reprint
  • Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language
    Richter, M., Lins, J., Schneegans, S., Sandamirskaya, Y., & Schöner, G.
    In P. Bello, Guarini, M., McShane, M., & Scassellati, B. (Eds.), Proceedings of the 36th Annual Conference of the Cognitive Science Society (pp. 2847–2852) Austin, TX: Cognitive Science Society
    pdf
  • A neural dynamic architecture resolves phrases about spatial relations in visual scenes
    Richter, M., Lins, J., Schneegans, S., & Schöner, G.
    In 24th International Conference on Artificial Neural Networks (ICANN) (pp. 201–208) Heidelberg, Germany: Springer
    pdf
  • Dynamic interactions between visual working memory and saccade target selection
    Schneegans, S., Spencer, J. P., Schöner, G., Hwang, S., & Hollingworth, A.
    Journal of vision, 14(11), 9
    supplementary material pdf
  • Use of the Uncontrolled Manifold (UCM) Approach to Understand MotorVariability, Motor Equivalence, and Self-motion
    Scholz, J. P., & Schöner, G.
    In M. F. Levin (Ed.), Progress in Motor Control (Vol. 826, p. Chapter 7) Springer International Publishing
    preprint
  • Embodied Cognition, Neural Field Models of
    Schöner, G.
    In Encyclopedia of Computational Neuroscience (pp. 1084–1092) Springer Berlin Heidelberg
    preprint
  • Dynamical Systems Thinking: From Metaphor to Neural Theory
    Schöner, G.
    In P. C. M. Molenaar, Lerner, R. M., & Newell, K. M. (Eds.), Handbook of Developmental Systems Theory and Methodology (pp. 188–219) New York, New York, USA: Guilford Publications
    preprint
  • Coordination Dynamics
    Schöner, G., & Nowak, E.
    In D. Jaeger & Jung, R. (Eds.), Encyclopedia of Computational Neuroscience (pp. 1–3) New York, NY: Springer New York
    preprint

    • 2013

  • Autonomous robot hitting task using dynamical system approach
    Oubbati, F., Richter, M., & Schöner, G.
    In IEEE International Conference on Systems, Man, and Cybernetics (pp. 4042–4047) IEEE
    pdf
  • A software framework for cognition, embodiment, dynamics, and autonomy in robotics: cedar
    Lomp, O., Zibner, S. K. U., Richter, M., Ranó, I., & Schöner, G.
    In International Conference on Artificial Neural Networks (pp. 475–482) Springer
    pdf
  • Using Dynamic Field Theory to Extend the Embodiment Stance toward Higher Cognition
    Sandamirskaya, Y., Zibner, S. K. U., Schneegans, S., & Schöner, G.
    New Ideas in Psychology, 31(3), 322–339
    pdf

    • 2012

  • Autonomous reinforcement of behavioral sequences in neural dynamics
    Kazerounian, S., Luciw, M., Sandamirskaya, Y., Richter, M., Schmidhuber, J., & Schöner, G.
    In IEEE International Conference on Development and Learning and Epigenetic Robotics (Vol. 1, pp. 1–2) Ieee
    pdf
  • Naturalistic arm movements during obstacle avoidance in 3D and the identification of movement primitives.
    Grimme, B., Lipinski, J., & Schöner, G.
    Experimental brain research, 222(3), 185–200
    pdf
  • A neurobehavioral model of flexible spatial language behaviors
    Lipinski, J., Schneegans, S., Sandamirskaya, Y., Spencer, J. P., & Schöner, G.
    Journal of experimental psychology. Learning, memory, and cognition, 38, 1490–1511
    pdf
  • A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences
    Duran, B., Sandamirskaya, Y., & Schöner, G.
    In A. E. P. Villa, Duch, W., Érdi, P., Masulli, F., & Palm, G. (Eds.), Artificial Neural Networks and Machine Learning – ICANN 2012 (Vol. 7552, pp. 25–32) Springer Berlin Heidelberg
    pdf
  • Sensorimotor Learning Biases Choice Behavior: A Learning Neural Field Model for Decision Making
    Klaes, C., Schneegans, S., Schöner, G., & Gail, A.
    PLoS computational biology, 8(11), e1002774
    supplementary material pdf
  • The Function and Fallibility of Visual Feature Integration: A Dynamic Neural Field Model of Illusory Conjunctions
    Lins, J., Schneegans, S., Spencer, J., & Schöner, G.
    Frontiers in Computational Neuroscience, (128)
    pdf
  • A Neuro-Behavioral Model of Flexible Spatial Language Behaviors
    Lipinski, J., Schneegans, S., Sandamirskaya, Y., Spencer, J. P., & Schöner, G.
    Journal of Experimental Psychology: Learning, Memory and Cognition., 38(6), 1490–1511
    pdf
  • Functional synergies underlying control of upright posture during changes in head orientation
    Park, E., Schöner, G., & Scholz, J. P.
    PLoS ONE, 7(8), 1–12
    pdf
  • A robotic architecture for action selection and behavioral organization inspired by human cognition
    Richter, M., Sandamirskaya, Y., & Schöner, G.
    In IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS
    pdf
  • A neural mechanism for coordinate transformation predicts pre-saccadic remapping
    Schneegans, S., & Schöner, G.
    Biological cybernetics, 106(2), 89–109
    pdf
  • How visual information links to multijoint coordination during quiet standing
    Scholz, J. P., Park, E., Jeka, J. J., Schöner, G., & Kiemel, T.
    Experimental Brain Research, 222, 229–239
    pdf
  • A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomy
    van Hengel, U., Sandamirskaya, Y., Schneegans, S., & Schöner, G.
    In 21st IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) 2012 (pp. 150–157)
    pdf

    • 2011

  • The temporal dynamics of global-to-local feedback in the formation of hierarchical motion patterns: psychophysics and computational simulations.
    Hock, H. S., Schöner, G., Brownlow, S., & Taler, D.
    Attention, perception & psychophysics, 73(4), 1171–94
    pdf
  • Limb versus speech motor control: a conceptual review.
    Grimme, B., Fuchs, S., Perrier, P., & Schöner, G.
    Motor control, 15(1), 5–33
    pdf
  • Autonomous movement generation for manipulators with multiple simultaneous constraints using the attractor dynamics approach
    Reimann, H., Iossifidis, I., & Schöner, G.
    In 2011 IEEE International Conference on Robotics and Automation, ICRA2011
  • A neural-dynamic architecture for behavioral organization of an embodied agent
    Sandamirskaya, Y., Richter, M., & Schöner, G.
    In IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2011) (pp. 1–7)
    pdf
  • Neural dynamics of sequence generation and behavioral organization
    Sandamirskaya, Y., Richter, M., & Schöner, G.
    In Front. Comput. Neurosci.: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, BC11
  • Motor equivalence and self-motion induced by different movement speeds
    Scholz, J. P., Dwight-Higgin, T., Lynch, J. E., Tseng, Y. -W., Martin, V., & Schöner, G.
    Experimental Brain Research, 209(3), 319–332
    pdf
  • A representation of projective and topological spatial terms within a neurodynamic framework for spatial language behaviors
    van Hengel, U., Schneegans, S., , Y. S., & Schöner, G.
    In Front. Comput. Neurosci.: Computational Neuroscience & Neurotechnology Bernstein Conference & Neurex Annual Meeting, BC11
  • Dynamic Neural Fields as Building Blocks of a Cortex-Inspired Architecture for Robotic Scene Representation
    Zibner, S. K. U., Faubel, C., Iossifidis, I., & Schöner, G.
    IEEE Transactions on Autonomous Mental Development, 3(1), 74–91
    pdf
  • Making a robotic scene representation accessible to feature and label queries
    Zibner, S. K. U., Faubel, C., & Schöner, G.
    In Proceedings of the First Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics (ICDL EPIROB 2011)

    • 2010

  • Natural human-robot interaction through spatial language: a dynamic neural fields approach
    Sandamirskaya, Y., Lipinski, J., Iossifidis, I., & Schöner, G.
    In 19th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN (pp. 600–607) Viareggio, Italy
  • Motor Abundance Contributes to Resolving Multiple Kinematic Task Constraints
    Gera, G., Freitas, S., Latash, M., Monahan, K., Schöner, G., & Scholz, J.
    Motor Control, 14, 83–115
    pdf
  • Measuring Perceptual Hysteresis with the Modified Method of Limits: Dynamics at the Threshold
    Hock, H. S., & Schöner, G.
    Seeing and Perceiving, 23, 173–195
    pdf
  • Motor control theories and their applications
    Latash, M., Levin, M. F., Scholz, J. P., & Schöner, G.
    Medicina (Kaunas), 29(6), 997–1003
    pdf
  • Natural human-robot interaction through spatial language: a dynamic neural fields approach
    Sandamirskaya, Y., Lipinski, J., Iossifidis, I., & Schöner, G.
    In 19th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN (pp. 600–607) Viareggio, Italy
    pdf
  • An embodied account of serial order: how instabilities drive sequence generation
    Sandamirskaya, Y., & Schöner, G.
    Neural Networks, 23(10), 1164–1179
    pdf
  • Neural dynamics of sequence generation: concepts and robotic demonstrations. A Dynamic Field Theory approach.
    Sandamirskaya, Y., & Schöner, G.
    In Bernstein Conference on Computational Neuroscience, BCCN
  • Serial order in an acting system: a multidimensional dynamic neural fields implementation
    Sandamirskaya, Y., & Schöner, G.
    In Development and Learning, 2010. ICDL 2010. 9th IEEE International Conference on
  • An Embodied Account of Serial Order: How Instabilities Drive Sequence Generation
    Sandamirskaya, Y., & Schöner, G.
    Neural Netw., 23
  • Serial order in an acting system: a multidimensional dynamic neural fields implementation
    Sandamirskaya, Y., & Schöner, G.
    In Development and Learning, 2010. ICDL 2010. 9th IEEE International Conference on
    pdf
  • Scene Representation for Anthropomorphic Robots: A Dynamic Neural Field Approach
    Zibner, S. K. U., Faubel, C., Iossifidis, I., & Schöner, G.
    In ISR / ROBOTIK 2010 Munich, Germany

    • 2009

  • A layered neural architecture for the consolidation, maintenance, and updating of representations in visual working memory.
    Johnson, J. S., Spencer, J. P., & Schöner, G.
    Brain research, 1299, 17–32
    pdf
  • A counterchange mechanism for the perception of motion.
    Hock, H. S., Schöner, G., & Gilroy, L.
    Acta psychologica, 132(1), 1–21
    pdf
  • A dynamic neural field model of visual working memory and change detection.
    Johnson, J. S. J. S., Spencer, J. P., Luck, S. J., & Schöner, G.
    Psychological science, 20(5), 568–577
    pdf
  • A layered neural architecture for the consolidation, maintenance, and updating of representations in visual working memory
    Johnson, J. S., Spencer, J. P., & Schöner, G.
    Brain Research, 1299, 17–32
    pdf
  • Swing it to the Left, Swing it to the Right: Enacting Flexible Spatial Language Using a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    Cognitive Neurodynamics, 3(4)
    pdf
  • Flexible Spatial Language Behaviors: Developing a Neural Dynamic Theoretical Framework.
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In A. Howes, Peebles, D., & Cooper, R. (Eds.), ICCM
  • Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In B. Mertsching, Hund, M., & Z., A. (Eds.), KI 2009, Lecture Notes in Artificial Intelligence (Vol. 5803, pp. 257–264) Berlin: Springer-Verlag
  • Flexible Spatial Language Behaviors: Developing a New Dynamic Theoretical Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In CogSci
  • Swing it to the Left, Swing it to the Right: Enacting Flexible Spatial Language Using a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    Cognitive Neurodynamics, 3(4)
  • An Integrative Framework for Spatial Language and Color: Robotic Demonstrations Using the Dynamic Field Theory.
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In 31th Annual Meeting of the Cognitive Science Society, CogSci 2009 Amstredam, NL
  • An Integrative Framework for Spatial Language and Color: Robotic Demonstrations Using the Dynamic Field Theory.
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In 31th Annual Meeting of the Cognitive Science Society, CogSci 2009 Amstredam, NL
    pdf
  • Behaviorally Flexible Spatial Communication: Robotic Demonstrations of a Neurodynamic Framework
    Lipinski, J., Sandamirskaya, Y., & Schöner, G.
    In B. Mertsching, Hund, M., & Z., A. (Eds.), KI 2009, Lecture Notes in Artificial Intelligence (Vol. 5803, pp. 257–264) Berlin: Springer-Verlag
    pdf
  • Redundancy, self-motion and motor control
    Martin, V., Scholz, J. P., & Schöner, G.
    Neural Computation, 21(5), 1371–1414
    pdf
  • Memorizing and Generating Inhomogeneous Behavioral Sequnces in the Dynamic Field Theory: Concepts and Robotic Demonstrations.
    Sandamirskaya, Y., & Schöner, G.
    In 13th International Conference on Cognitive and Neural Systems, ICCNS
  • Temporal stabilization of discrete movement in variable environments: an attractor dynamics approach
    Tuma, M., Iossifidis, I., & Schöner, G.
    In IEEE International Conference on Robotics and Automation (ICRA) (pp. 863–868)
    pdf

    • 2008

  • Moving to a higher ground: the dynamic field theory and the dynamics of visual cognition
    Johnson, J. S., Spencer, J. P., & Schöner, G.
    New Ideas in Psychology, 26, 227–251
    pdf
  • Dynamic Field Theory of Sequential Action: A Model and its Implementation on an Embodied Agent
    Sandamirskaya, Y., & Schöner, G.
    In ICDL
  • Dynamic Field Theory as a framework for understanding embodied cognition
    Schneegans, S., & Schöner, G.
    In P. Calvo & Gomila, T. (Eds.), Handbook of cognitive science: An embodied approach (pp. 241–271) Amsterdam, Netherlands: Elsevier
    pdf

    • 2006

  • Reference-related inhibition produces enhanced position discrimination and fast repulsion near axes of symmetry.
    Simmering, V. R., Spencer, J. P., & Schöner, G.
    Perception & psychophysics, 68(6), 1027–46
    pdf
  • Dynamic field theory and embodied communication
    Sandamirskaya, Y., & Schöner, G.
    In I. Wachsmuth & Knoblich, G. (Eds.), Modeling communication with robots and virtual humans (pp. 260–278) Springer
  • Moving toward a grand theory of development: In memory of Esther Thelen
    Spencer, J. P., Clearfield, M. W., Corbetta, D., Ulrich, B. D., Buchanan, P., & Schoner, G.
    Child Development, 77, 1521–1538
    pdf
  • The time course of saccadic decision making: Dynamic field theory
    Wilimzig, C., Schneider, S., & Schöner, G.
    Neural Networks, 19(8), 1059–1074
    reprint

    • 2004

  • Shorter latencies for motion trajectories than for flashes in population responses of cat primary visual cortex
    Jancke, D., Erlhagen, W., Schöner, G., & Dinse, H. R.
    The Journal of Physiology, 556(3), 971–982

    • 2003

  • Testing the dynamic field theory: Working memory for locations becomes more spatially precise over development
    Schutte, A. R., Spencer, J. P., & Schöner, G.
    Child Development, 74(5), 1393–1417
    pdf
  • Bridging the representational gap in the dynamic systems approach to development
    Spencer, J. P., & Schöner, G.
    Developmental Science, 6(4), 392–412
    pdf

    • 2002

  • Dynamic field theory of movement preparation.
    Erlhagen, W., & Schöner, G.
    Psychological Review, 109(3), 545–572
    reprint
  • Timing, Clocks, and Dynamical Systems
    Schöner, G.
    Brain and Cognition, 48, 31–51
    reprint

    • 1999

  • The distribution of neuronal population activation (DPA) as a tool to study interaction and integration in cortical representations
    Erlhagen, W., Bastian, A., Jancke, D., Riehle, A., & Schöner, G.
    Journal of Neuroscience Methods, 94(1), 53–66
  • Parametric population representation of retinal location: Neuronal interaction dynamics in cat primary visual cortex
    Jancke, D., Erlhagen, W., Dinse, H. R., Akhavan, A. C., Giese, M., Steinhage, A., & Schöner, G.
    J Neurosci, 19(20), 9016–9028

    • 1995

  • Dynamics of behavior: Theory and applications for autonomous robot architectures
    Schöner, G., Dose, M., & Engels, C.
    Robotics and Autonomous Systems, 16, 213–245
    SchonerDoseEngels95.pdf

    • 1986

  • A stochastic theory of phase transitions in human hand movement
    Schöner, G., Haken, H., & Kelso, J. A. S.
    Biological Cybernetics, 53, 247–257
    pdf bib