The many facets of adaptation in fly visual motion processing

Neuronal adaptation has been studied extensively in visual motion-sensitive neurons of the fly Calliphora vicina, a model system in which the computational principles of visual motion processing are amenable on a single-cell level. Evidenced by several recent papers, the original idea had to be dismissed that motion adaptation adjusts velocity coding to the current stimulus range by a simple parameter change in the motion detection scheme. In contrast, linear encoding of velocity modulations and total information rates might even go down in the course of adaptation. Thus it seems that rather than improving absolute velocity encoding motion adaptation might bring forward an efficient extraction of those features in the visual input signal that are most relevant for visually guided course control and obstacle avoidance.

[1]  Albert Compte,et al.  Selective detection of abrupt input changes by integration of spike-frequency adaptation and synaptic depression in a computational network model , 2006, Journal of Physiology-Paris.

[2]  M Egelhaaf,et al.  Dendritic calcium accumulation associated with direction-selective adaptation in visual motion-sensitive neurons in vivo. , 2000, Journal of neurophysiology.

[3]  M. Egelhaaf,et al.  Vision in flying insects , 2002, Current Opinion in Neurobiology.

[4]  H G Krapp,et al.  Neuronal matched filters for optic flow processing in flying insects. , 2000, International review of neurobiology.

[5]  M. Egelhaaf,et al.  Responses of blowfly motion-sensitive neurons to reconstructed optic flow along outdoor flight paths , 2005, Journal of Comparative Physiology A.

[6]  Martin Egelhaaf,et al.  Motion Adaptation Enhances Object-Induced Neural Activity in Three-Dimensional Virtual Environment , 2008, The Journal of Neuroscience.

[7]  I. Nelken,et al.  Processing of low-probability sounds by cortical neurons , 2003, Nature Neuroscience.

[8]  S. Laughlin.  A Simple Coding Procedure Enhances a Neuron's Information Capacity , 1981, Zeitschrift fur Naturforschung. Section C, Biosciences.

[9]  Martin Egelhaaf,et al.  Adaptation of Velocity Encoding in Synaptically Coupled Neurons in the Fly Visual System , 2008, The Journal of Neuroscience.

[10]  J. V. van Hateren,et al.  Function and Coding in the Blowfly H1 Neuron during Naturalistic Optic Flow , 2005, The Journal of Neuroscience.

[11]  Holger G. Krapp,et al.  Neural encoding of behaviourally relevant visual-motion information in the fly , 2002, Trends in Neurosciences.

[12]  Martin Egelhaaf,et al.  Visually guided orientation in flies: case studies in computational neuroethology , 2003, Journal of Comparative Physiology A.

[13]  S. Laughlin,et al.  Adaptation of the motion-sensitive neuron H1 is generated locally and governed by contrast frequency , 1985, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[14]  Robert A. Harris,et al.  Contrast Gain Reduction in Fly Motion Adaptation , 2000, Neuron.

[15]  R. Kurtz,et al.  Direction-selective adaptation in fly visual motion-sensitive neurons is generated by an intrinsic conductance-based mechanism , 2007, Neuroscience.

[16]  N. Weinberger,et al.  Habituation produces frequency-specific plasticity of receptive fields in the auditory cortex. , 1991, Behavioral neuroscience.

[17]  Alexander Borst,et al.  Adaptation and information transmission in fly motion detection. , 2007, Journal of neurophysiology.

[18]  George Adrian Horridge,et al.  The H1 Neuron Measures Change in Velocity Irrespective of Contrast Frequency, Mean Velocity or Velocity Modulation Frequency , 1991 .

[19]  Robert A. Harris,et al.  Adaptation and the temporal delay filter of fly motion detectors , 1999, Vision Research.

[20]  K. Hausen.  The Lobula-Complex of the Fly: Structure, Function and Significance in Visual Behaviour , 1984 .