Abstract
To study multisensory integration, we have designed a fly-robot interface that will allow a blowfly to control the movements of a mobile robotic platform. Here we present successfully miniaturized recording equipment which meets the required specifications in terms of size, gain, bandwidth and stability. Open-loop experiments show that despite its small size, stable recordings from the identified motion-sensitive H1-cell are feasible when: (i) the fly is kept stationary and stimulated by external motion of a visual pattern; (ii) the fly and platform are rotating in a stationary visual environment. Comparing the two data sets suggests that rotating the fly or the pattern, although resulting in the same visual motion stimulus, induce slightly different H1-cell response. This may reflect the involvement of mechanosensory systems during rotations of the fly. The next step will be to use H1-cell responses for the control of unrestrained movements of the robot under closed-loop conditions.
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References
Bomphrey, R.J., Walker, S.M., Taylor, G.K.: The Typical Flight Performance of Blowflies: Measuring the Normal Performance Envelope of Calliphora vicina Using a Novel Corner-Cube Arena. PLoS ONE 4(11), e7852 (2009)
Taylor, G.K., Krapp, H.G.: Sensory systems and flight stability: What do insects measure and why? Adv. Ins. Phys. 34, 231–316 (2007)
Krapp, H.G.: Ocelli. Current Biology 19(11), R435–R437 (2009)
Dickinson, M.H.: Haltere-mediated equilibrium reflexes of the fruit fly, Drosophila melanogaster. Philos. Trans. R. Soc. Lond. B. Biol. Sci. 354(1385), 903–916 (1999)
Matsuo, E., Kamikouchi, A.: Neuronal encoding of sound, gravity, and wind in the fruit fly. J. Comp. Physiol. A. Neuroethol. Sens. Neural Behav. Physiol. 199(4), 253–262 (2013)
Strausfeld, N.J.: Atlas of an Insect Brain. Springer, New York (1976)
Krapp, H.G., Wicklein, M.: Central processing of visual information in insects. In: Masland, R., Albright, T.D. (eds.) The Senses: a Comprehensive Reference, vol. 1, pp. 131–204. Academic Press (2008)
Strausfeld, N.J., Seyan, H.S.: Convergence of visual, haltere, and prosternai inputs at neck motor neurons of Calliphora erythrocephala. Cell and Tissue Research. 240, 601–615 (1985)
Parsons, M.M., Krapp, H.G., Laughlin, S.B.: A motion-sensitive neurone responds to signals from the two visual systems of the blowfly, the compound eyes and ocelli. Journal of Experimental Biology 209, 4464–4474 (2006)
Huston, S.J., Krapp, H.G.: Visuomotor transformation in the fly gaze stabilization system. PLoS Biol. 22 6(7), e173 (2008)
Hausen, K.: Functional characterization and anatomical identification of motion sensitive neurons in the lobula plate of the blowfly Calliphora erythrocephala. Z. Naturforsch 31, 629–633 (1976)
Krapp, H.G.: Neuronal matched filters for optic flow processing in flying insects. Int. Rev. Neurob. 44, 93–120 (2000)
Maddess, T., Laughlin, S.B.: Adaptation of the motion-sensitive neuron H1 is generated locally and governed by contrast frequency. Proc. R. Soc. Lond. B 225, 251–275 (1985)
Borst, A., Haag, J.: Neural networks in the cockpit of the fly. J. Comp. Phys. A 188, 419–437 (2002)
Longden, K.D., Krapp, H.G.: Octopaminergic modulation of temporal frequency coding in an identified optic flow-processing interneuron. Front. Syst. Neurosci. 4, 153 (2010)
Lewen, G.D., Bialek, W., de Ruyter van Steveninck, R.: Neural coding of naturalistic motion stimuli. Network 12, 317–329 (2001)
Nemenman, I., Lewen, G.D., Bialek, W., de Ruyter van Steveninck, R.R.: Neural Coding of Natural Stimuli: Information at Sub-Millisecond Resolution. PLoS. Comput. Biol. 4(3), e1000025 (2008)
Huston, S.J., Krapp, H.G.: Nonlinear Integration of Visual and Haltere Inputs in Fly Neck Motor Neurons. J. Neurosci. 29(42), 13097–13105 (2009)
Franceschini, N.: Sampling of the visual environment by the compound eye of the fly: fundamentals and applications. In: Snyder, A.W., Menzel, R. (eds.) Photoreceptor Optics, pp. 98–125. Springer (1975)
Karmeier, K., Tabor, R., Egelhaff, M., Krapp, G.H.: Early visual experience and the receptive-field organization of optic flow processing interneurons in the fly motion pathway. Vis. Neurosci. 18, 1–8 (2001)
Krapp, H.G., Hengstenberg, R., Egelhaaf, M.: Binocular contributions to optic flow processing in the fly visual system. J. Neurophysiol. 85(2), 724–734 (2001)
Ejaz, N., Peterson, K., Krapp, H.: An experimental platform to study the closed-loop performance of brain-machine interfaces. J. Vis. Exp. 10(3791) (2011)
Longden, K.D., Krapp, H.G.: State-dependent performance of optic-flow processing interneurons. J. Neurophysiol. 102(6), 3606–3618 (2009)
Haag, J., Borst, A.: Electrical coupling of lobula plate tangential cells to a heterolateral motion-sensitive neuron in the fly. J. Neurosci. 28(53), 14435–14442 (2008)
Kern, R., van Hateren, J.H., Michaelis, C., Lindemann, J.P., Egelhaaf, M.: Function of a fly motion-sensitive neuron matches eye movements during free flight. PLoS Biol. 3(6), e171 (2005)
Weber, F., Machens, C.K., Borst, A.: Disentangling the functional consequences of the connectivity between optic-flow processing neurons. Nat. Neurosci. 15(3), 441–448, S1–S2 (2012)
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Huang, J.V., Krapp, H.G. (2013). Miniaturized Electrophysiology Platform for Fly-Robot Interface to Study Multisensory Integration. In: Lepora, N.F., Mura, A., Krapp, H.G., Verschure, P.F.M.J., Prescott, T.J. (eds) Biomimetic and Biohybrid Systems. Living Machines 2013. Lecture Notes in Computer Science(), vol 8064. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39802-5_11
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DOI: https://doi.org/10.1007/978-3-642-39802-5_11
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