Sebastian Schneegans
Sebastian Schneegans
Department of Psychology, University of Cambridge
Geverifieerd e-mailadres voor cam.ac.uk
Titel
Geciteerd door
Geciteerd door
Jaar
Using RFID Snapshots for Mobile Robot Self-Localization.
S Schneegans, P Vorst, A Zell
EMCR, 2007
942007
Neural architecture for feature binding in visual working memory
S Schneegans, PM Bays
Journal of Neuroscience 37 (14), 3913-3925, 2017
792017
Using dynamic field theory to extend the embodiment stance toward higher cognition
Y Sandamirskaya, SKU Zibner, S Schneegans, G Schöner
New Ideas in Psychology 31 (3), 322-339, 2013
732013
Self-localization with RFID snapshots in densely tagged environments
P Vorst, S Schneegans, B Yang, A Zell
2008 IEEE/RSJ international conference on intelligent robots and systems …, 2008
642008
No fixed item limit in visuospatial working memory
S Schneegans, PM Bays
cortex 83, 181-193, 2016
552016
A neurobehavioral model of flexible spatial language behaviors.
J Lipinski, S Schneegans, Y Sandamirskaya, JP Spencer, G Schöner
Journal of Experimental Psychology: Learning, Memory, and Cognition 38 (6), 1490, 2012
462012
Dynamic interactions between visual working memory and saccade target selection
S Schneegans, JP Spencer, G Schöner, S Hwang, A Hollingworth
Journal of vision 14 (11), 9-9, 2014
362014
A neural mechanism for coordinate transformation predicts pre-saccadic remapping
S Schneegans, G Schöner
Biological cybernetics 106 (2), 89-109, 2012
322012
Dynamic field theory as a framework for understanding embodied cognition
S Schneegans, G Schöner
Handbook of Cognitive Science, 241-271, 2008
282008
Integrating "what" and "where": Visual working memory for objects in a scene
S Schneegans, JP Spencer, G Schöner
Dynamic Thinking: A Primer on Dynamic Field Theory, 197-226, 2015
27*2015
Sensorimotor learning biases choice behavior: a learning neural field model for decision making
C Klaes, S Schneegans, G Schöner, A Gail
PLoS Comput Biol 8 (11), e1002774, 2012
252012
Drift in neural population activity causes working memory to deteriorate over time
S Schneegans, PM Bays
Journal of Neuroscience 38 (21), 4859-4869, 2018
232018
The infant orienting with attention task: Assessing the neural basis of spatial attention in infancy
S Ross‐Sheehy, S Schneegans, JP Spencer
Infancy 20 (5), 467-506, 2015
232015
Autonomous neural dynamics to test hypotheses in a model of spatial language
M Richter, J Lins, S Schneegans, Y Sandamirskaya, G Schoner
Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014
202014
Restoration of fMRI decodability does not imply latent working memory states
S Schneegans, PM Bays
Journal of Cognitive Neuroscience 29 (12), 1977-1994, 2017
182017
New perspectives on binding in visual working memory
S Schneegans, PM Bays
British Journal of Psychology 110 (2), 207-244, 2019
172019
A neural dynamic architecture resolves phrases about spatial relations in visual scenes
M Richter, J Lins, S Schneegans, G Schöner
International Conference on Artificial Neural Networks, 201-208, 2014
72014
Integration and selection in dynamic fields: Moving beyond a single dimension
S Schneegans, J Lins, JP Spencer, DFT Research Group
Dynamic Thinking—A Primer on Dynamic Field Theory. Oxford University Press …, 0
6
Sequences of discrete attentional shifts emerge from a neural dynamic architecture for conjunctive visual search that operates in continuous time.
R Grieben, J Tekülve, SKU Zibner, S Schneegans, G Schöner, JZC Kalish, ...
Cogsci, 2018
42018
A neural-dynamic architecture for flexible spatial language: intrinsic frames, the term “between”, and autonomy
U van Hengel, Y Sandamirskaya, S Schneegans, G Schöner
2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human …, 2012
42012
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Artikelen 1–20