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Embodied Cognition, Dynamic Field Theory of

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References

  • Amari S (1977) Dynamics of pattern formation in lateral-inhibition type neural fields. Biol Cybern 27:77–87

    Article  CAS  PubMed  Google Scholar 

  • Bastian A, Riehle A, Erlhagen W, Schöner G (1998) Prior information preshapes the population representation of movement direction in motor cortex. Neuroreports 9:315–319

    Article  CAS  Google Scholar 

  • Bicho E, Mallet P, Schöner G (2000) Target representation on an autonomous vehicle with low-level sensors. Int J Robotics Res 19:424–447

    Article  Google Scholar 

  • Cisek P (2006) Integrated neural processes for defining potential actions and deciding between them: a computational model. J Neurosci 26(38):9761–9770

    Article  CAS  PubMed  Google Scholar 

  • Cohen MR, Newsome WT (2009) Estimates of the contribution of single neurons to perception depend on timescale and noise correlation. J Neurosci 29(20):6635–6648

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • Erlhagen W, Schöner G (2002) Dynamic field theory of movement preparation. Psychol Rev 109:545–572

    Article  PubMed  Google Scholar 

  • Erlhagen W, Bastian A, Jancke D, Riehle A, Schöner G (1999) The distribution of neuronal population activation (DPA) as a tool to study interaction and integration in cortical representations. J Neurosci Methods 94:53–66

    Article  CAS  PubMed  Google Scholar 

  • Erlhagen W, Mukovskiy A, Bicho E (2006) A dynamic model for action understanding and goal-directed imitation. Brain Res 1083(1):174–188

    Article  CAS  PubMed  Google Scholar 

  • Fix J, Rougier N, Alexandre F (2011) A dynamic neural field approach to the covert and overt deployment of spatial attention. Cognit Comput 3(1):279–293

    Article  Google Scholar 

  • Fuster JM (2005) Cortex and mind – unifying cognition. Oxford University Press, Oxford

    Book  Google Scholar 

  • Hock HS, Schöner G, Giese MA (2003) The dynamical foundations of motion pattern formation: stability, selective adaptation, and perceptual continuity. Percept Psychophys 65:429–457

    Article  PubMed  Google Scholar 

  • Jancke D, Erlhagen W, Dinse HR, Akhavan AC, Giese M, Steinhage A et al (1999) Parametric population representation of retinal location: {N}euronal interaction dynamics in cat primary visual cortex. J Neurosci 19:9016–9028

    CAS  PubMed  Google Scholar 

  • Johnson JS, Spencer JP, Schöner G (2008) Moving to higher ground: the dynamic field theory and the dynamics of visual cognition. New Ideas Psychol 26:227–251

    Article  PubMed Central  PubMed  Google Scholar 

  • Johnson JS, Spencer JP, Luck SJ, Schöner G (2009) A dynamic neural field model of visual working memory and change detection. Psychol Sci 20:568–577

    Article  PubMed Central  PubMed  Google Scholar 

  • Kopecz K, Schöner G (1995) Saccadic motor planning by integrating visual information and pre-information on neural, dynamic fields. Biol Cybern 73:49–60

    Article  CAS  PubMed  Google Scholar 

  • Lipinski J, Schneegans S, Sandamirskaya Y, Spencer JP, Schöner G (2012) A neuro-behavioral model of flexible spatial language behaviors. J Exp Psychol Learn Mem Cogn 38(6):1490–1511

    Article  PubMed Central  PubMed  Google Scholar 

  • Markounikau V, Igel C, Grinvald A, Jancke D (2010) A dynamic neural field model of mesoscopic cortical activity captured with voltage-sensitive dye imaging. PLoS Comput Biol 6(9):e1000919

    Article  PubMed Central  PubMed  Google Scholar 

  • Martin V, Scholz JP, Schöner G (2009) Redundancy, self-motion and motor control. Neural Comput 21(5):1371–1414

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  • McClelland JL, Rogers TT (2003) The parallel distributed processing approach to semantic cognition. Nat Rev Neurosci 4(4):310–322

    Article  CAS  PubMed  Google Scholar 

  • Perone S, Spencer JP (2013) Autonomy in action: linking the act of looking to memory formation in infancy via dynamic neural fields. Cognit Sci 37(1):1–60

    Article  Google Scholar 

  • Riegler A (2002) When is a cognitive system embodied? Cognit Syst Res 3:339–348

    Article  Google Scholar 

  • Sandamirskaya Y (2014) Dynamic neural fields as a step toward cognitive neuromorphic architectures. Front Neurosci 7

    Google Scholar 

  • Sandamirskaya Y, Schöner G (2010) An embodied account of serial order: how instabilities drive sequence generation. Neural Netw 23(10):1164–1179

    Article  PubMed  Google Scholar 

  • Sandamirskaya Y, Zibner SK, Schneegans S, Schöner G (2013) Using dynamic field theory to extend the embodiment stance toward higher cognition. New Ideas Psychol 31(3):322–339

    Article  Google Scholar 

  • Schneegans S, Schöner G (2008) Dynamic field theory as a framework for understanding embodied cognition. In: Calvo P, Gomila T (eds) Handbook of cognitive science: an embodied approach. Elsevier, Amsterdam/Boston/London, pp 241–271

    Chapter  Google Scholar 

  • Schöner G, Thelen E (2006) Using dynamic field theory to rethink infant habituation. Psychol Rev 113(2):273–299

    Article  PubMed  Google Scholar 

  • Simons DJ, Levin DT (1997) Change blindness. Trends Cogn Sci 1(7):261–267

    Article  CAS  PubMed  Google Scholar 

  • Spencer JP, Schöner G (2003) Bridging the representational gap in the dynamical systems approach to development. Dev Sci 6:392–412

    Article  Google Scholar 

  • Spencer JP, Simmering VR, Schutte AR (2006) Toward a formal theory of flexible spatial behavior: geometric category biases generalize across pointing and verbal response types. J Exp Psychol Hum Percept Perform 32(2):473–490

    Article  PubMed  Google Scholar 

  • Spencer JP, Perone S, Johnson JS (2009) Dynamic field theory and embodied cognitive dynamics. In: Spencer J, Thomas M, McClelland J (eds) Toward a unified theory of development: connectionism and dynamic systems theory re-considered. Oxford University Press, Oxford, pp 86–118

    Google Scholar 

  • Thelen E, Schöner G, Scheier C, Smith L (2001) The dynamics of embodiment: a field theory of infant perseverative reaching. Brain Behav Sci 24:1–33

    Article  CAS  Google Scholar 

  • Trappenberg T (2008) Decision making and population decoding with strongly inhibitory neural field models. In: Heinke D, Mavritsak E (eds) Computational modelling in behavioural neuroscience: closing the gap between neurophysiology and behaviour. Psychology Press, London, pp 1–19

    Google Scholar 

  • Trappenberg T, Dorris MC, Munoz DP, Klein RM (2001) A model of saccade initiation based on the competitive integration of exogenous and endogenous signals in the superior colliculus. J Cogn Neurosci 13(2):256–271

    Article  CAS  PubMed  Google Scholar 

  • Zibner SKU, Faubel C, Iossifidis I, Schöner G (2011) Dynamic neural fields as building blocks for a cortex-inspired architecture of robotic scene representation. IEEE Trans Auton Ment Dev 3(1):74–91

    Article  Google Scholar 

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Schöner, G. (2014). Embodied Cognition, Dynamic Field Theory of. In: Jaeger, D., Jung, R. (eds) Encyclopedia of Computational Neuroscience. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-7320-6_55-1

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  • DOI: https://doi.org/10.1007/978-1-4614-7320-6_55-1

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