BibliographyType,ISBN,Identifier,Author,Title,Journal,Volume,Number,Month,Pages,Year,Address,Note,URL,Booktitle,Chapter,Edition,Series,Editor,Publisher,ReportType,Howpublished,Institution,Organizations,School,Annote,Custom1,Custom2,Custom3,Custom4,Custom5
7,"","journals/vlsisp/ChienNLMSBCDMJ96","Chien, Charles; Nazareth, Sean; Lettieri, Paul; Molloy, Stephen; Schoner, Brian; IV, Walter A. Boring; Chen, Joey; Deng, Christopher; Mangione-Smith, William H. & Jain, Rajeev","An integrated testbed for wireless multimedia computing.","VLSI Signal Processing",13,2-3,"","105-124",1996,"","","http://dblp.uni-trier.de/db/journals/vlsisp/vlsisp13.html#ChienNLMSBCDMJ96","","","","","","","","","","","","","","","dblp ","",""
7,"","ErlhagenSchöner2002","Erlhagen, Wolfram & Schöner, Gregor","Dynamic Field Theory of Movement Preparation","Psychological Review",109,3,"","545--572",2002,"","","","","","","","","American Psychological Association, Inc.","","","","","","","A theoretical framework for understanding movement preparation is proposed. Movement parameters are represented by activation fields, distributions of activation defined over metric spaces. The fields evolve under the influence of various sources of localized input, representing information about upcoming movements. Localized patterns of activation self-stabilize through cooperative and competitive interactions within the fields. The task environment is represented by a 2nd class of fields, which preshape the movement parameter representation. The model accounts for a sizable body of empirical findings on movement initiation (continuous and graded nature of movement preparation, dependence on the metrics of the task, stimulus uncertainty effect, stimulus­response compatibility effects, Simon effect, precuing paradigm, and others) and suggests new ways of exploring the structure of motor representations.
","","mathematicalmodeling motorcontrol ","",""
6,"","conf/icra/IossifidisS04","Iossifidis, Ioannis & Schöner, Gregor","Autonomous Reaching and Obstacle Avoidance with the Anthropomorphic Arm of a Robotic Assistant using the Attractor Dynamics Approach.","",,,"","4295-4300",2004,"","","http://dblp.uni-trier.de/db/conf/icra/icra2004-5.html#IossifidisS04","ICRA","","","","","IEEE","","","","","","","","","dblp ","",""
7,"","Johnson2007","Johnson, Jeffrey S.; Spencer, John P. & Schoner, Gregor","Moving to higher ground: The dynamic field theory and the dynamics of visual cognition","New Ideas in Psychology",,,"","",2007,"","","","","","","","","","","","","","",""," In the present report, we describe a new dynamic field theory that captures the dynamics of visuo-spatial cognition. This theory grew out of the dynamic systems approach to motor control and development, and is grounded in neural principles. The initial application of dynamic field theory to issues in visuo-spatial cognition extended concepts of the motor approach to decision making in a sensori-motor context, and, more recently, to the dynamics of spatial cognition. Here we extend these concepts still further to address topics in visual cognition, including visual working memory for non-spatial object properties, the processes that underlie change detection, and the ‘binding problem’ in vision. In each case, we demonstrate that the general principles of the dynamic field approach can unify findings in the literature and generate novel predictions. We contend that the application of these concepts to visual cognition avoids the pitfalls of reductionist approaches in cognitive science, and points toward a formal integration of brains, bodies, and behavior.
","","changedetection dynamicfieldtheory motorcontrol vision workingmemory ","",""
6,"","Johnson2006","Johnson, J S; Spencer, J P & Schöner, G","A Dynamic Neural Field Theory of Multi-Item Visual Working Memory and Change Detection","",,,"","399-404",2006,"Vancouver, Canada","","ftp://ftp.neuroinformatik.rub.de/pub/manuscripts/articles/JohnsonSpencerSchoner2006.pdf","Proceedings of the 28th Annual Conference of the Cognitive Science Society (CogSci 2006)","","","","","","","","","","","","Many visually-guided behaviors rely critically on the ability to maintain visual information in working memory. However, to date, there are few formal models of visual working memory (VWM) that directly interface with the growing empirical literature on this basic cognitive system. In particular, no current theories address both the maintenance of multiple items in VWM and the process of change detection within a neurally-plausible framework. In the present study, we describe such an approach, along with initial data from a change detection task that confirm a novel prediction of our model.","","changedetection dynamicalsystems dynamicfieldtheory interference model workingmemory ","",""
6,"978-3-540-79036-5","conf/zif/SandamirskayaS06","Sandamirskaya, Yulia & Schöner, Gregor","Dynamic Field Theory and Embodied Communication.","",4930,,"","260-278",2006,"","","http://dblp.uni-trier.de/db/conf/zif/zif2006.html#SandamirskayaS06","ZiF Workshop","","","Lecture Notes in Computer Science","Wachsmuth, Ipke & Knoblich, Günther","Springer","","","","","","","","","dblp ","",""
7,"","journals/bc/ScholzDLS02","Scholz, John P.; Danion, Frédéric; Latash, Mark L. & Schöner, Gregor","Understanding finger coordination through analysis of the structure of force variability.","Biological Cybernetics",86,1,"","29-39",2002,"","","http://dblp.uni-trier.de/db/journals/bc/bc86.html#ScholzDLS02","","","","","","","","","","","","","","","dblp ","",""
7,"","SpencerSchöner2003","Spencer, J.P. & Schöner, G.","Bridging the representational gap in the dynamic systems approach to development","Developmental Science",6,4,"","392--412",2003,"","","","","","","","","","","","","","","","We describe the relationship between the dynamic systems approach to development and a recent approach to the dynamics of representational states – the dynamic field approach. Both approaches share an emphasis on the concepts of stability (attractor states), instability (especially bifurcations), soft-assembly and flexibility. But the dynamic field approach adds the concept of ‘activation’ to capture the strength with which behaviorally relevant information is specified. By explicitly linking these dynamic systems approaches, we allow for more direct comparisons between dynamic systems theory and connectionism. We note three current differences between these two approaches to development: (1) the notion of stability is central to how representational states are conceptualized in the dynamic field approach; (2) the dynamic field approach is more directly concerned with the sensorimotor origins of cognition; and (3) the dynamic approach is less advanced with regard to learning. We conclude that proponents of the two approaches can learn from the respective strengths of each approach. We suspect these differences will largely disappear in the next 20 years.
","","connectionism development dynamicalsystems motorcontrol perception ","",""
7,"","WilimzigEtAl2006","Wilimzig, C.; Schneider, S. & Schoner, G.","The time course of saccadic decision making: dynamic field theory.","Neural Netw",19,8,"","1059--74",2006,"","","","","","","","","","","","","","","","Making a saccadic eye movement involves two decisions, the decision to initiate the saccade and the selection of the visual target of the saccade. Here we provide a theoretical account for the time-courses of these two processes, whose instabilities are the basis of decision making. We show how the cross-over from spatial averaging for fast saccades to selection for slow saccades arises from the balance between excitatory and inhibitory processes. Initiating a saccade involves overcoming fixation, as can be observed in the countermanding paradigm, which we model accounting both for the temporal evolution of the suppression probability and its dependence on fixation activity. The interaction between the two forms of decision making is demonstrated by predicting how the cross-over from averaging to selection depends on the fixation stimulus in gap-step-overlap paradigms. We discuss how the activation dynamics of our model may be mapped onto neuronal structures including the motor map and the fixation cells in superior colliculus.","","dynamicfieldtheory eyemovements inhibition model motorcontrol ","",""
7,"","journals/mr/WolborskiBOPSRLH06","Wolborski, Maciej; Bakowski, Mietek; Ortiz, Armando; Pore, Viljami; Schöner, Adolf; Ritala, Mikko; Leskelä, Markku & Hallén, Anders","Characterisation of the Al2O3 films deposited by ultrasonic spray pyrolysis and atomic layer deposition methods for passivation of 4H-SiC devices.","Microelectronics Reliability",46,5-6,"","743-755",2006,"","","http://dblp.uni-trier.de/db/journals/mr/mr46.html#WolborskiBOPSRLH06","","","","","","","","","","","","","","","dblp ","",""