Pedro J. Gonçalves
I am a postdoc in Jakob Macke’s lab since January 2016. I am also a member of ELLIS (European Laboratory for Learning and Intelligent Systems). I am broadly interested in building biologically constrained theoretical models (combining methods from dynamical systems, statistical physics and machine learning) to guide new experiments and ultimately refine the models to further our understanding of neural systems in health and disease.
Before joining the lab, I was a postdoctoral research fellow working with Maneesh Sahani at the Gatsby Computational Neuroscience Unit, UCL. My PhD was supervised by Christian Machens at École normale supérieure in Paris (2012).
Lueckmann J.-M., Boelts J., Greenberg D.S., Gonçalves P.J., Macke J.H. (2021) Benchmarking simulation-based inference. (to appear at AISTATS 2021)
Gonçalves P.J.*, Lueckmann J.*, Deistler M.*, Nonnenmacher M., Oecal K., Bassetto G., Chintaluri C., Podlaski W.F., Haddad S.A., Vogels T.P., Greenberg D.S., Macke J.H. (2020) Training deep neural density estimators to identify mechanistic models of neural dynamics. eLife, 9, e56261.
(Excellent coverage of our work and Sean Bittner's and John Cunningham's work by Grace Lindsay for Simons Foundation: Illuminating the Dark Parameter Space of Neuroscience Modeling.)
Gothner T.*, Gonçalves P.J.*, Sahani M., Linden J.F., Hildebrandt K.J. (2020) Sustained Activation of PV+ Interneurons in Auditory Cortex Enables Robust Divisive Gain Control for Complex and Naturalistic Stimuli. Cerebral Cortex.
Tejero-Cantero A., Boelts J., Deistler M., Lueckmann J.-M., Durkan C., Gonçalves P.J., Greenberg D.S., Macke J.H. (2020) sbi -- a toolkit for simulation-based inference. Journal of Open Source Software, 5(52), 2505.
Lueckmann J.*, Gonçalves P.J.*, Bassetto G., Oecal K., Nonnenmacher M., Macke J.H. (2017) Flexible statistical inference for mechanistic models of neural dynamics. Advances in Neural Information Processing Systems, pages 1289–1299.
Gonçalves P.J.*, Arrenberg A.B.*, Hablitzel B., Baier H. and Machens C.K. (2014). Optogenetic perturbations reveal the dynamics of an oculomotor integrator. Frontiers in Neural Circuits 8:10.
Calaim N.*, Dehmelt F.A.*, Gonçalves P.J.*, Machens C.K. (2020) Robust coding with spiking networks: a geometric perspective. (bioRxiv)
Valle A.F., Gonçalves P.J.@, Seelig J.D.@ (2020) Integration of sleep drive and navigation in Drosophila. (bioRxiv)
Boelts J., Lueckmann J.M., Gonçalves P.J., Sprekeler H., Macke J.H. Comparing neural simulations by neural density estimation. Conference on Cognitive Computational Neuroscience (2019)
Lueckmann J.M.*, Gonçalves P.J.*, Chintaluri C., Podlaski W.F., Bassetto G., Vogels T.P., Macke J.H. Amortised inference for mechanistic models of neural dynamics. Cosyne (2019)
Gonçalves P.J. A plasticity mechanism for the robustness of the oculomotor integrator. Cosyne (2013)
*equal contributions, @corresponding author(s)