TY - JOUR
T1 - Defining the Computational Structure of the Motion Detector in Drosophila
AU - Clark, Damon A.
AU - Bursztyn, Limor
AU - Horowitz, Mark A.
AU - Schnitzer, Mark J.
AU - Clandinin, Thomas R.
N1 - Funding Information: The authors thank Axel Borst, Chi-Hon Lee, Daryl Gohl, Mathias Wernet, and Marion Silies for fly stocks and Bob Schneeveis for assistance in constructing the behavioral rig. The authors would also like to thank James Fitzgerald and Tony Movshon for helpful discussions; Liqun Luo, Miriam Goodman, Saskia de Vries, Daryl Gohl, and Marion Silies for comments on the manuscript; and Sheetal Bhalerao for aid with dissections. This work was supported by a Jane Coffin Childs Postdoctoral fellowship (D.A.C.), a Fulbright Science and Technology Fellowship and a Stanford Bio-X SIGF Bruce and Elizabeth Dunlevie Fellowship (L.B.), the W.M. Keck Foundation (M.H., M.J.S., and T.R.C.), and NIH Director's Pioneer Awards to M.J.S. (DP10D003560) and T.R.C. (DP0035350).
PY - 2011/6/23
Y1 - 2011/6/23
N2 - Many animals rely on visual motion detection for survival. Motion information is extracted from spatiotemporal intensity patterns on the retina, a paradigmatic neural computation. A phenomenological model, the Hassenstein-Reichardt correlator (HRC), relates visual inputs to neural activity and behavioral responses to motion, but the circuits that implement this computation remain unknown. By using cell-type specific genetic silencing, minimal motion stimuli, and in vivo calcium imaging, we examine two critical HRC inputs. These two pathways respond preferentially to light and dark moving edges. We demonstrate that these pathways perform overlapping but complementary subsets of the computations underlying the HRC. A numerical model implementing differential weighting of these operations displays the observed edge preferences. Intriguingly, these pathways are distinguished by their sensitivities to a stimulus correlation that corresponds to an illusory percept, " reverse phi," that affects many species. Thus, this computational architecture may be widely used to achieve edge selectivity in motion detection.
AB - Many animals rely on visual motion detection for survival. Motion information is extracted from spatiotemporal intensity patterns on the retina, a paradigmatic neural computation. A phenomenological model, the Hassenstein-Reichardt correlator (HRC), relates visual inputs to neural activity and behavioral responses to motion, but the circuits that implement this computation remain unknown. By using cell-type specific genetic silencing, minimal motion stimuli, and in vivo calcium imaging, we examine two critical HRC inputs. These two pathways respond preferentially to light and dark moving edges. We demonstrate that these pathways perform overlapping but complementary subsets of the computations underlying the HRC. A numerical model implementing differential weighting of these operations displays the observed edge preferences. Intriguingly, these pathways are distinguished by their sensitivities to a stimulus correlation that corresponds to an illusory percept, " reverse phi," that affects many species. Thus, this computational architecture may be widely used to achieve edge selectivity in motion detection.
UR - http://www.scopus.com/inward/record.url?scp=79959322094&partnerID=8YFLogxK
U2 - https://doi.org/10.1016/j.neuron.2011.05.023
DO - https://doi.org/10.1016/j.neuron.2011.05.023
M3 - مقالة
C2 - 21689602
SN - 0896-6273
VL - 70
SP - 1165
EP - 1177
JO - Neuron
JF - Neuron
IS - 6
ER -