Pawel Lichocki
Paweł Lichocki is a Software Engineer at Google in Operations Research team where he works on combinatorial optimization. He received his PhD in Computer Science from École Polytechnique Fédérale de Lausanne for work on evolution of division of labor in multi-agent systems. Prior, he was a researcher in Supercomputer and Networking Center in Poznań where he worked on parallel and distributed processing algorithms.
Authored Publications
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Mechanosensory interactions drive collective behaviour in Drosophila
Pavan Ramdya
Steeve Cruchet
Lukas Frisch
Winnie Tse
Dario Floreano
Richard Benton
Nature, 519 (2015), 233–236
Preview abstract
Collective behaviour enhances environmental sensing and decision-making in groups of animals. Experimental and theoretical investigations of schooling fish, flocking birds and human crowds have demonstrated that simple interactions between individuals can explain emergent group dynamics. These findings indicate the existence of neural circuits that support distributed behaviours, but the molecular and cellular identities of relevant sensory pathways are unknown. Here we show that Drosophila melanogaster exhibits collective responses to an aversive odour: individual flies weakly avoid the stimulus, but groups show enhanced escape reactions. Using high-resolution behavioural tracking, computational simulations, genetic perturbations, neural silencing and optogenetic activation we demonstrate that this collective odour avoidance arises from cascades of appendage touch interactions between pairs of flies. Inter-fly touch sensing and collective behaviour require the activity of distal leg mechanosensory sensilla neurons and the mechanosensory channel NOMPC. Remarkably, through these inter-fly encounters, wild-type flies can elicit avoidance behaviour in mutant animals that cannot sense the odour - a basic form of communication. Our data highlight the unexpected importance of social context in the sensory responses of a solitary species and open the door to a neural-circuit-level understanding of collective behaviour in animal groups.
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