- RUB
- Computer Science
- INI
- Alumni
- Dr.-Ing. Sebastian Schneegans
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Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidenceGrieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.Attention, Perception, & Psychophysics
@article{GriebenTekülveZibnerEtAl2020, author = {Grieben, Raul and Tekülve, Jan and Zibner, Stephan K.U. and Lins, Jonas and Schneegans, Sebastian and Schöner, Gregor}, title = {Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence}, journal = {Attention, Perception, & Psychophysics}, year = {2020}, doi = {10.3758/s13414-019-01898-y}, }
Grieben, R., Tekülve, J., Zibner, S. K. U., Lins, J., Schneegans, S., & Schöner, G.. (2020). Scene memory and spatial inhibition in visual search: A neural dynamic process model and new experimental evidence. Attention, Perception, & Psychophysics. http://doi.org/10.3758/s13414-019-01898-y2018
Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous timeGrieben, 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@inproceedings{GriebenTekülveZibnerEtAl2018, author = {Grieben, R and Tekülve, J. and Zibner, S.K.U. and Schneegans, S. and Schöner, G.}, title = {Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time}, booktitle = {Proceedings of the 40th Annual Conference of the Cognitive Science Society}, editor = {Rogers, T.T. and Rau, M. and Zhu, X. and Kalish, C. W.}, year = {2018}, }
Grieben, R., Tekülve, J., Zibner, S. K. U., Schneegans, S., & Schöner, G.. (2018). Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time. In T. T. Rogers, Rau, M., Zhu, X., & Kalish, C. W. (Eds.), Proceedings of the 40th Annual Conference of the Cognitive Science Society.2014
Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial LanguageRichter, 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@inproceedings{RichterLinsSchneegansEtAl2014, author = {Richter, Mathis and Lins, Jonas and Schneegans, Sebastian and Sandamirskaya, Yulia and Schöner, Gregor}, title = {Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language}, booktitle = {Proceedings of the 36th Annual Conference of the Cognitive Science Society}, editor = {Bello, P. and Guarini, M. and McShane, M. and Scassellati, B.}, pages = {2847–2852}, publisher = {Cognitive Science Society}, address = {Austin, TX}, year = {2014}, }
Richter, M., Lins, J., Schneegans, S., Sandamirskaya, Y., & Schöner, G.. (2014). Autonomous Neural Dynamics to Test Hypotheses in a Model of Spatial Language. 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.A neural dynamic architecture resolves phrases about spatial relations in visual scenesRichter, M., Lins, J., Schneegans, S., & Schöner, G.In 24th International Conference on Artificial Neural Networks (ICANN) (pp. 201–208) Heidelberg, Germany: Springer@inproceedings{RichterLinsSchneegansEtAl2014b, author = {Richter, Mathis and Lins, Jonas and Schneegans, Sebastian and Schöner, Gregor}, title = {A neural dynamic architecture resolves phrases about spatial relations in visual scenes}, booktitle = {24th International Conference on Artificial Neural Networks (ICANN)}, pages = {201–208}, publisher = {Springer}, address = {Heidelberg, Germany}, year = {2014}, }
Richter, M., Lins, J., Schneegans, S., & Schöner, G.. (2014). A neural dynamic architecture resolves phrases about spatial relations in visual scenes. In 24th International Conference on Artificial Neural Networks (ICANN) (pp. 201–208). Heidelberg, Germany: Springer.Dynamic interactions between visual working memory and saccade target selectionSchneegans, S., Spencer, J. P., Schöner, G., Hwang, S., & Hollingworth, A.Journal of vision, 14(11), 9@article{SchneegansSpencerSchönerEtAl2014, author = {Schneegans, Sebastian and Spencer, John P and Schöner, Gregor and Hwang, Seongmin and Hollingworth, Andrew}, title = {Dynamic interactions between visual working memory and saccade target selection}, journal = {Journal of vision}, volume = {14}, number = {11}, pages = {9}, year = {2014}, }
Schneegans, S., Spencer, J. P., Schöner, G., Hwang, S., & Hollingworth, A. (2014). Dynamic interactions between visual working memory and saccade target selection. Journal of vision, 14(11), 9.2013
Using Dynamic Field Theory to Extend the Embodiment Stance toward Higher CognitionSandamirskaya, Y., Zibner, S. K. U., Schneegans, S., & Schöner, G.New Ideas in Psychology, 31(3), 322–339@article{SandamirskayaZibnerSchneegansEtAl2013, author = {Sandamirskaya, Yulia and Zibner, Stephan KU and Schneegans, Sebastian and Schöner, Gregor}, title = {Using Dynamic Field Theory to Extend the Embodiment Stance toward Higher Cognition}, journal = {New Ideas in Psychology}, volume = {31}, number = {3}, pages = {322–339}, year = {2013}, }
Sandamirskaya, Y., Zibner, S. K. U., Schneegans, S., & Schöner, G.. (2013). Using Dynamic Field Theory to Extend the Embodiment Stance toward Higher Cognition. New Ideas in Psychology, 31(3), 322–339.2012
Sensorimotor Learning Biases Choice Behavior: A Learning Neural Field Model for Decision MakingKlaes, C., Schneegans, S., Schöner, G., & Gail, A.PLoS computational biology, 8(11), e1002774@article{KlaesSchneegansSchönerEtAl2012, author = {Klaes, Christian and Schneegans, Sebastian and Schöner, Gregor and Gail, Alexander}, title = {Sensorimotor Learning Biases Choice Behavior: A Learning Neural Field Model for Decision Making}, journal = {PLoS computational biology}, volume = {8}, number = {11}, pages = {e1002774}, year = {2012}, }
Klaes, C., Schneegans, S., Schöner, G., & Gail, A. (2012). Sensorimotor Learning Biases Choice Behavior: A Learning Neural Field Model for Decision Making. PLoS computational biology, 8(11), e1002774.The Function and Fallibility of Visual Feature Integration: A Dynamic Neural Field Model of Illusory ConjunctionsLins, J., Schneegans, S., Spencer, J., & Schöner, G.Frontiers in Computational Neuroscience, (128)@article{LinsSchneegansSpencerEtAl2012, author = {Lins, Jonas and Schneegans, Sebastian and Spencer, John and Schöner, Gregor}, title = {The Function and Fallibility of Visual Feature Integration: A Dynamic Neural Field Model of Illusory Conjunctions}, journal = {Frontiers in Computational Neuroscience}, volume = {}, number = {128}, year = {2012}, doi = {10.3389/conf.fncom.2012.55.00128}, }
Lins, J., Schneegans, S., Spencer, J., & Schöner, G.. (2012). The Function and Fallibility of Visual Feature Integration: A Dynamic Neural Field Model of Illusory Conjunctions. Frontiers in Computational Neuroscience, (128). http://doi.org/10.3389/conf.fncom.2012.55.00128A Neuro-Behavioral Model of Flexible Spatial Language BehaviorsLipinski, J., Schneegans, S., Sandamirskaya, Y., Spencer, J. P., & Schöner, G.Journal of Experimental Psychology: Learning, Memory and Cognition., 38(6), 1490–1511@article{LipinskiSchneegansSandamirskayaEtAl2012, author = {Lipinski, J. and Schneegans, S. and Sandamirskaya, Y. and Spencer, J.P. and Schöner, G.}, title = {A Neuro-Behavioral Model of Flexible Spatial Language Behaviors}, journal = {Journal of Experimental Psychology: Learning, Memory and Cognition.}, volume = {38}, number = {6}, pages = {1490–1511}, year = {2012}, }
Lipinski, J., Schneegans, S., Sandamirskaya, Y., Spencer, J. P., & Schöner, G.. (2012). A Neuro-Behavioral Model of Flexible Spatial Language Behaviors. Journal of Experimental Psychology: Learning, Memory and Cognition., 38(6), 1490–1511.A neural mechanism for coordinate transformation predicts pre-saccadic remappingSchneegans, S., & Schöner, G.Biological cybernetics, 106(2), 89–109@article{SchneegansSchöner2012, author = {Schneegans, Sebastian and Schöner, Gregor}, title = {A neural mechanism for coordinate transformation predicts pre-saccadic remapping}, journal = {Biological cybernetics}, volume = {106}, number = {2}, pages = {89–109}, year = {2012}, }
Schneegans, S., & Schöner, G.. (2012). A neural mechanism for coordinate transformation predicts pre-saccadic remapping. Biological cybernetics, 106(2), 89–109.A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomyvan 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)@inproceedings{van HengelSandamirskayaSchneegansEtAl2012, author = {van Hengel, U and Sandamirskaya, Y and Schneegans, S and Schöner, G}, title = {A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomy}, booktitle = {21st IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) 2012}, pages = {150–157}, year = {2012}, }
van Hengel, U., Sandamirskaya, Y., Schneegans, S., & Schöner, G.. (2012). A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomy. In 21st IEEE International Symposium on Robot and Human Interactive Communication (Ro-Man) 2012 (pp. 150–157).2008
Dynamic Field Theory as a framework for understanding embodied cognitionSchneegans, S., & Schöner, G.In P. Calvo & Gomila, T. (Eds.), Handbook of cognitive science: An embodied approach (pp. 241–271) Amsterdam, Netherlands: Elsevier@inproceedings{SchneegansSchöner2008, author = {Schneegans, Sebastian and Schöner, Gregor}, title = {Dynamic Field Theory as a framework for understanding embodied cognition}, booktitle = {Handbook of cognitive science: An embodied approach}, editor = {Calvo, P and Gomila, T}, pages = {241–271}, publisher = {Elsevier}, address = {Amsterdam, Netherlands}, year = {2008}, }
Schneegans, S., & Schöner, G.. (2008). Dynamic Field Theory as a framework for understanding embodied cognition. In P. Calvo & Gomila, T. (Eds.), Handbook of cognitive science: An embodied approach (pp. 241–271). Amsterdam, Netherlands: Elsevier.The Institut für Neuroinformatik (INI) is a research unit of the Faculty of Computer Science at the Ruhr-Universität Bochum. Its scientific goal is to understand the fundamental principles through which organisms generate behavior and cognition while linked to their environments through sensory and effector systems. Inspired by our insights into such natural cognitive systems, we seek new solutions to problems of information processing in artificial cognitive systems. We draw from a variety of disciplines that include experimental psychology and neurophysiology as well as machine learning, neural artificial intelligence, computer vision, and robotics.
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