Asymmetric Processing of Visual Motion for Simultaneous Object and Background Responses

Visual object fixation and figure-ground discrimination in Drosophila are robust behaviors requiring sophisticated computation by the visual system, yet the neural substrates remain unknown. Recent experiments in walking flies revealed object fixation behavior mediated by circuitry independent from the motion-sensitive T4-T5 cells required for wide-field motion responses. In tethered flight experiments under closed-loop conditions, we found similar results for one feedback gain, whereas intact T4-T5 cells were necessary for robust object fixation at a higher feedback gain and in figure-ground discrimination tasks. We implemented dynamical models (available at http://strawlab.org/asymmetric-motion/) based on neurons downstream of T4-T5 cells—one a simple phenomenological model and another, physiologically more realistic model—and found that both predict key features of stripe fixation and figure-ground discrimination and are consistent with a classical formulation. Fundamental to both models is motion asymmetry in the responses of model neurons, whereby front-to-back motion elicits stronger responses than back-to-front motion. When a bilateral pair of such model neurons, based on well-understood horizontal system cells, downstream of T4-T5, is coupled to turning behavior, asymmetry leads to object fixation and figure-ground discrimination in the presence of noise. Furthermore, the models also predict fixation in front of a moving background, a behavior previously suggested to require an additional pathway. Thus, the models predict several aspects of object responses on the basis of neurons that are also thought to serve a key role in background stabilization.

[1]  Mark A. Frye,et al.  Binocular Interactions Underlying the Classic Optomotor Responses of Flying Flies , 2012, Front. Behav. Neurosci..

[2]  Werner Reichardt,et al.  Figure-ground discrimination by relative movement in the visual system of the fly , 2004, Biological Cybernetics.

[3]  Mark A. Frye,et al.  Figure Tracking by Flies Is Supported by Parallel Visual Streams , 2012, Current Biology.

[4]  K Hausen,et al.  Neural circuits mediating visual flight control in flies. I. Quantitative comparison of neural and behavioral response characteristics , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[5]  M A Georgeson,et al.  Apparent Foveofugal Drift of Counterphase Gratings , 1978, Perception.

[6]  K. Broadie,et al.  Targeted expression of tetanus toxin light chain in Drosophila specifically eliminates synaptic transmission and causes behavioral defects , 1995, Neuron.

[7]  Christian Wehrhahn,et al.  How is tracking and fixation accomplished in the nervous system of the fly? , 1980, Biological Cybernetics.

[8]  C. Wehrhahn,et al.  Microsurgical lesion of horizontal cells changes optomotor yaw responses in the blowfly Calliphora erythrocephala , 1983, Proceedings of the Royal Society of London. Series B. Biological Sciences.

[9]  Christian Wehrhahn,et al.  Fast and slow flight torque responses in flies and their possible role in visual orientation behaviour , 1981, Biological Cybernetics.

[10]  M Egelhaaf,et al.  On the Computations Analyzing Natural Optic Flow: Quantitative Model Analysis of the Blowfly Motion Vision Pathway , 2005, The Journal of Neuroscience.

[11]  Johannes D. Seelig,et al.  Feature detection and orientation tuning in the Drosophila central complex , 2013, Nature.

[12]  Karin Nordström,et al.  Novel Flicker-Sensitive Visual Circuit Neurons Inhibited by Stationary Patterns , 2013, The Journal of Neuroscience.

[13]  Jean-Jacques Orban de Xivry,et al.  Saccades and pursuit: two outcomes of a single sensorimotor process , 2007, The Journal of physiology.

[14]  Martin Egelhaaf,et al.  On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly , 1985, Biological Cybernetics.

[15]  M. Egelhaaf,et al.  Processing of figure and background motion in the visual system of the fly , 1989, Biological Cybernetics.

[16]  Bernward Pick,et al.  Visual Flicker Induces Orientation Behaviour in the Fly Musca , 1974 .

[17]  M Heisenberg,et al.  Genetic dissection of optomotor behavior in Drosophila melanogaster. Studies on wild-type and the mutant optomotor-blindH31. , 1986, Journal of neurogenetics.

[18]  B. Pick,et al.  Visual pattern discrimination as an element of the fly's orientation behaviour , 1976, Biological Cybernetics.

[19]  Dario L. Ringach,et al.  Theta Motion Processing in Fruit Flies , 2010, Front. Behav. Neurosci..

[20]  A. Borst,et al.  What kind of movement detector is triggering the landing response of the housefly? , 1986, Biological Cybernetics.

[21]  K. Hausen Motion sensitive interneurons in the optomotor system of the fly , 1982, Biological Cybernetics.

[22]  A. Borst,et al.  Columnar cells necessary for motion responses of wide-field visual interneurons in Drosophila , 2012, Journal of Comparative Physiology.

[23]  Alexander Borst,et al.  Optogenetic Control of Fly Optomotor Responses , 2013, The Journal of Neuroscience.

[24]  L. A. Segel,et al.  Visual fixation and tracking in flies , 1980 .

[25]  W. Reichardt,et al.  Übertragungseigenschaften im Auswertesystem für das Bewegungssehen , 1959 .

[26]  A. Borst,et al.  Adaptation of response transients in fly motion vision. II: Model studies , 2003, Vision Research.

[27]  Werner Reichardt,et al.  A theory of the pattern induced flight orientation of the fly Musca domestica II , 1975, Biological Cybernetics.

[28]  C. Wehrhahn,et al.  Neural circuits mediating visual flight control in flies. II. Separation of two control systems by microsurgical brain lesions , 1990, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[29]  Anton L. Fuhrmann,et al.  Reverse Engineering Animal Vision with Virtual Reality and Genetics , 2014, Computer.

[30]  J. Kennedy The Visual Responses of Flying Mosquitoes. , 2009 .

[31]  Alexander Borst,et al.  Mechanisms of dendritic integration underlying gain control in fly motion-sensitive interneurons , 1995, Journal of Computational Neuroscience.

[32]  M. Egelhaaf On the neuronal basis of figure-ground discrimination by relative motion in the visual system of the fly , 1985 .

[33]  Alexander Borst,et al.  Object tracking in motion-blind flies , 2013, Nature Neuroscience.

[34]  Michael H. Dickinson,et al.  Cellular mechanisms for integral feedback in visually guided behavior , 2014, Proceedings of the National Academy of Sciences.

[35]  Michael H. Dickinson,et al.  A Simple Vision-Based Algorithm for Decision Making in Flying Drosophila , 2008, Current Biology.

[36]  K. Hausen Functional Characterization and Anatomical Identification of Motion Sensitive Neurons in the Lobula plate of the Blowfly Calliphora erythrocephala , 1976 .

[37]  M Egelhaaf,et al.  Neural circuit tuning fly visual neurons to motion of small objects. II. Input organization of inhibitory circuit elements revealed by electrophysiological and optical recording techniques. , 1993, Journal of neurophysiology.

[38]  W. Reichardt,et al.  Visual fixation and tracking by flies: Mathematical properties of simple control systems , 1981, Biological Cybernetics.

[39]  R. Hengstenberg,et al.  Binocular contributions to optic flow processing in the fly visual system. , 2001, Journal of neurophysiology.

[40]  M. Dickinson,et al.  Active flight increases the gain of visual motion processing in Drosophila , 2010, Nature Neuroscience.

[41]  Hendrik Eckert,et al.  Functional properties of the H1-neurone in the third optic Ganglion of the Blowfly,Phaenicia , 1980, Journal of comparative physiology.

[42]  I. Y. Kazakov,et al.  Problems of the theory of statistical linearization and its applications , 1960 .

[43]  G. Geiger,et al.  Visual processing of moving single objects and wide-field patterns in flies: Behavioural analysis after laser-surgical removal of interneurons , 1982, Biological Cybernetics.

[44]  Karl Geokg Götz,et al.  Optomotorische Untersuchung des visuellen systems einiger Augenmutanten der Fruchtfliege Drosophila , 1964, Kybernetik.

[45]  Jane E. Raymond,et al.  Directional anisotropy of motion sensitivity across the visual field , 1994, Vision Research.

[46]  Karin Nordström,et al.  Higher-order motion sensitivity in fly visual circuits , 2012, Proceedings of the National Academy of Sciences.

[47]  B Schnell,et al.  Processing of horizontal optic flow in three visual interneurons of the Drosophila brain. , 2010, Journal of neurophysiology.

[48]  Martin Egelhaaf,et al.  Visual course control in flies relies on neuronal computation of object and background motion , 1988, Trends in Neurosciences.

[49]  Michael H. Dickinson,et al.  Motmot, an open-source toolkit for realtime video acquisition and analysis , 2009, Source Code for Biology and Medicine.

[50]  A. Straw,et al.  A `bright zone' in male hoverfly (Eristalis tenax) eyes and associated faster motion detection and increased contrast sensitivity , 2006, Journal of Experimental Biology.