Adám Gosztolai
Fields of expertise
dynamical on networks – animal behaviour – collective behaviour – computational neuroscience
Mission
Networks and dynamics are fundamental building blocks of living systems. My general research interest lies in understanding how networks shape the evolution of dynamics that take place on them. Because the structure of the network leaves an imprint on the dynamics, we can use the dynamics to study the network itself. Likewise, networks can be designed specifically to facilitate or hinder the propagation of dynamical processes.Current work
In the context of neuroscience, I currently wish to understand how the structure of neuronal networks determines the possible animal behaviours that they can generate. This is a fundamental question towards understanding how neural circuits control action selection among a spectrum of behaviours. I study this in the model system of Drosophila melanogaster, in which relatively few “descending” input neurons mediate the activity of the neural circuit controlling the leg movement.Education
PhD
Mathematics
Imperial College London
2014-2018
MRes
Systems and Synthetic Biology
Imperial College London
2013-2014
MASt
Mathematics
University of Cambridge
2012-2013
BEng
Mechanical Engineering
University College London
2008-2011
Publications
Selected publications
Gosztolai A, Günel S, Lobato-Ríos V, Pietro Abrate M, Morales D, Rhodin H, Fua P, Ramdya P Nature Methods |
LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals |
Gosztolai A, Arnaudon A Nature Communications |
Unfolding the multiscale structure of networks with dynamical Ollivier-Ricci curvature |