Max Planck Institute for Dynamics and Self-Organization -- Department for Nonlinear Dynamics and Network Dynamics Group
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BCCN AG-Seminar

Tuesday, 21.02.2006 16 c.t.

Dynamic Adaptation in Fly Motion Vision

by Virginia Flanagin
from Systems and Computational Neurobiology, Max-Planck Institute of Neurobiology, Martinsried

Contact person: Fred Wolf


Seminarraum Haus 2, 4. Stock (Bunsenstr.)


We are constantly bombarded by motion signals on our retina. Motion information is not, however, explicitly represented on the level of the photoreceptor; it must be computed from time dependent light intensity values that are encoded in the retina. The range of motion signals that occur in the natural environment is much larger than the dynamic range of a neuron. It is therefore advantageous for the visual system to adapt its response properties to the statistics of the motion stimulus. Using experimental, simulation and analytical techniques, I demonstrate that dynamic motion adaptation in the fly is an automatic property of the Reichardt motion detector model, without any change in the model parameters. In addition the generality of this principle and the implications for efficient information transfer will be discussed.

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