M A Giese

Summary

Affiliation: Max Planck Institute for Biological Cybernetics
Country: Germany

Publications

  1. ncbi request reprint Neural mechanisms for the recognition of biological movements
    Martin A Giese
    Laboratory for Action Representation and Learning, Department of Cognitive Neurology, University Clinic Tübingen, Spemannstrasse 34, D 72076 Tubingen, Germany
    Nat Rev Neurosci 4:179-92. 2003
  2. ncbi request reprint Measurement of generalization fields for the recognition of biological motion
    M A Giese
    Center for Biological and Computational Learning, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Vision Res 42:1847-58. 2002
  3. ncbi request reprint Critical features for the recognition of biological motion
    Antonino Casile
    Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University Clinic, Tubingen, Germany
    J Vis 5:348-60. 2005
  4. ncbi request reprint Biophysiologically plausible implementations of the maximum operation
    Angela J Yu
    Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK
    Neural Comput 14:2857-81. 2002
  5. ncbi request reprint Nonvisual motor training influences biological motion perception
    Antonino Casile
    Laboratory for Action Representation and Learning, Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University Clinic Tübingen, Schaffhausenstr 113, D 72072 Tubingen, Germany
    Curr Biol 16:69-74. 2006
  6. ncbi request reprint Norm-based face encoding by single neurons in the monkey inferotemporal cortex
    David A Leopold
    Max Planck Institut für biologische Kybernetik, Spemannstrasse 38, 72076 Tubingen, Germany
    Nature 442:572-5. 2006
  7. ncbi request reprint Learning to discriminate complex movements: biological versus artificial trajectories
    Jan Jastorff
    Laboratory for Action Representation and Learning, Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University Clinic, Tubingen, Germany
    J Vis 6:791-804. 2006
  8. pmc Neural representations of kinematic laws of motion: evidence for action-perception coupling
    Eran Dayan
    Departments of Computer Science and Applied Mathematics, Neurobiology, and Physics of Complex Systems, The Weizmann Institute of Science, Rehovot 76100, Israel
    Proc Natl Acad Sci U S A 104:20582-7. 2007

Collaborators

Detail Information

Publications8

  1. ncbi request reprint Neural mechanisms for the recognition of biological movements
    Martin A Giese
    Laboratory for Action Representation and Learning, Department of Cognitive Neurology, University Clinic Tübingen, Spemannstrasse 34, D 72076 Tubingen, Germany
    Nat Rev Neurosci 4:179-92. 2003
    ..We review the main experimental findings and discuss possible neural mechanisms, and show that a learning-based, feedforward model provides a neurophysiologically plausible and consistent summary of many key experimental results...
  2. ncbi request reprint Measurement of generalization fields for the recognition of biological motion
    M A Giese
    Center for Biological and Computational Learning, Massachusetts Institute of Technology, Cambridge, MA 02139, USA
    Vision Res 42:1847-58. 2002
    ..We conclude that the visual system shows generalization within classes of motion patterns with similar basic structure, such as bipedal locomotion...
  3. ncbi request reprint Critical features for the recognition of biological motion
    Antonino Casile
    Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University Clinic, Tubingen, Germany
    J Vis 5:348-60. 2005
    ..The computationally challenging reconstruction of precise position information from degraded stimuli might not be required...
  4. ncbi request reprint Biophysiologically plausible implementations of the maximum operation
    Angela J Yu
    Gatsby Computational Neuroscience Unit, University College London, London WC1N 3AR, UK
    Neural Comput 14:2857-81. 2002
    ..Through simulations and mathematical analysis, we compare the performance and robustness of these mechanisms. We derive experimentally verifiable predictions for each model and discuss the relevant physiological considerations...
  5. ncbi request reprint Nonvisual motor training influences biological motion perception
    Antonino Casile
    Laboratory for Action Representation and Learning, Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University Clinic Tübingen, Schaffhausenstr 113, D 72072 Tubingen, Germany
    Curr Biol 16:69-74. 2006
    ..These results prove, for the first time, that motor learning has a direct and highly selective influence on visual action recognition that is not mediated by visual learning...
  6. ncbi request reprint Norm-based face encoding by single neurons in the monkey inferotemporal cortex
    David A Leopold
    Max Planck Institut für biologische Kybernetik, Spemannstrasse 38, 72076 Tubingen, Germany
    Nature 442:572-5. 2006
    ..As such, these findings link the tuning of neurons in the inferotemporal cortex to psychological models of face identity perception...
  7. ncbi request reprint Learning to discriminate complex movements: biological versus artificial trajectories
    Jan Jastorff
    Laboratory for Action Representation and Learning, Department of Cognitive Neurology, Hertie Institute for Clinical Brain Research, University Clinic, Tubingen, Germany
    J Vis 6:791-804. 2006
    ..This process seems to operate independently of the consistency of the patterns with biologically relevant body shapes but seems to require the compatibility of the learned movements with a global underlying shape...
  8. pmc Neural representations of kinematic laws of motion: evidence for action-perception coupling
    Eran Dayan
    Departments of Computer Science and Applied Mathematics, Neurobiology, and Physics of Complex Systems, The Weizmann Institute of Science, Rehovot 76100, Israel
    Proc Natl Acad Sci U S A 104:20582-7. 2007
    ..These findings suggest that cortical motion representations are optimally tuned to the kinematic and geometrical invariants characterizing biological actions...