@article {68566,
	title = {Synaptic gradients transform object location to action.},
	journal = {Nature},
	volume = {613},
	year = {2023},
	month = {2023 Jan 04},
	pages = {534-42},
	abstract = {<p>To survive, animals must convert sensory information into appropriate behaviours. Vision is a common sense for locating ethologically relevant stimuli and guiding motor responses. How circuitry converts object location in retinal coordinates to movement direction in body coordinates remains largely unknown. Here we show through behaviour, physiology, anatomy and connectomics in Drosophila that visuomotor transformation occurs by conversion of topographic maps formed by the dendrites of feature-detecting visual projection neurons (VPNs) into synaptic weight gradients of VPN outputs onto central brain neurons. We demonstrate how this gradient motif transforms the anteroposterior location of a visual looming stimulus into the fly{\textquoteright}s directional escape. Specifically, we discover that two neurons postsynaptic to a looming-responsive VPN type promote opposite takeoff directions. Opposite synaptic weight gradients onto these neurons from looming VPNs in different visual field regions convert localized looming threats into correctly oriented escapes. For a second looming-responsive VPN type, we demonstrate graded responses along the dorsoventral axis. We show that this synaptic gradient motif generalizes across all 20 primary VPN cell types and most often arises without VPN axon topography. Synaptic gradients may thus be a general mechanism for conveying spatial features of sensory information into directed motor outputs.</p>
},
	issn = {1476-4687},
	doi = {10.1038/s41586-022-05562-8},
	author = {Dombrovski, Mark and Peek, Martin Y and Park, Jin-Yong and Vaccari, Andrea and Sumathipala, Marissa and Morrow, Carmen and Breads, Patrick and Zhao, Arthur and Kurmangaliyev, Yerbol Z and Sanfilippo, Piero and Rehan, Aadil and Polsky, Jason and Alghailani, Shada and Tenshaw, Emily and Namiki, Shigehiro and Zipursky, S Lawrence and Card, Gwyneth M}
}
@article {64825,
	title = {Neural basis for looming size and velocity encoding in the Drosophila giant fiber escape pathway.},
	journal = {Current Biology : CB},
	volume = {29},
	year = {2019},
	month = {2019 Feb 28},
	pages = {1073},
	abstract = {<p>Identified neuron classes in vertebrate cortical [1-4] and subcortical [5-8] areas and invertebrate peripheral [9-11] and central [12-14] brain neuropils encode specific visual features of a panorama. How downstream neurons integrate these features to control vital behaviors, like escape, is unclear [15]. In Drosophila, the timing of a single spike in the giant fiber (GF) descending neuron [16-18] determines whether a fly uses a short or long takeoff when escaping a looming predator [13]. We previously proposed that GF spike timing results from summation of two visual features whose detection is highly conserved across animals [19]: an object{\textquoteright}s subtended angular size and its angular velocity [5-8, 11, 20, 21]. We attributed velocity encoding to input from lobula columnar type 4 (LC4) visual projection neurons, but the size-encoding\&nbsp;source remained unknown. Here, we show that lobula plate/lobula columnar, type 2 (LPLC2) visual projection neurons anatomically specialized to detect looming [22] provide the entire GF size component. We find LPLC2 neurons to be necessary for GF-mediated escape and show that LPLC2 and LC4 synapse directly onto the GF via reconstruction in a fly brain electron microscopy (EM) volume [23]. LPLC2 silencing eliminates the size component of the GF looming response in patch-clamp recordings, leaving only the velocity component. A model summing a linear function of angular velocity (provided by LC4) and a Gaussian function of angular size (provided by LPLC2) replicates GF looming response dynamics and predicts the peak response time. We thus present an identified circuit in which information from looming feature-detecting neurons is combined by a common post-synaptic target to determine behavioral output.</p>
},
	issn = {1879-0445},
	doi = {10.1016/j.cub.2019.01.079},
	author = {Ache, Jan M and Polsky, Jason and Alghailani, Shada and Parekh, Ruchi and Breads, Patrick and Peek, Martin Y and Bock, Davi D and von Reyn, Catherine R and Card, Gwyneth M}
}
