Publications
Publications
Preprints
Ramesh P., Confavreux B., Gonçalves P.J.*, Vogels T.P.*, Macke J.H.* (2023) Indistinguishable network dynamics can emerge from unalike plasticity rules. (bioRxiv)
Bernaerts Y., Deistler M., Gonçalves P.J., Beck J., Stimberg M., Scala F., Tolias A.S., Macke J.H., Kobak D., Berens P. (2023) Combined statistical-mechanistic modeling links ion channel genes to physiology of cortical neuron types. (bioRxiv)
Peer-reviewed articles
Confavreux B., Ramesh P., Gonçalves P.J., Macke J.H., Vogels T.P. (2023) Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference. Advances in Neural Information Processing Systems (NeurIPS).
Deistler M., Macke J.H.*, Gonçalves P.J.* (2022) Energy efficient network activity from disparate circuit parameters. Proc. Natl. Acad. Sci. U.S.A. 119 (44) e2207632119.
Deistler M., Gonçalves P.J.*, Macke J.H.* (2022) Truncated proposals for scalable and hassle-free simulation-based inference. Advances in Neural Information Processing Systems (NeurIPS).
Calaim N.*, Dehmelt F.A.*, Gonçalves P.J.*, Machens C.K. (2022) The geometry of robustness in spiking neural networks. eLife, 11, e73276.
Ramesh P., Lueckmann J.-M., Boelts J., Tejero-Cantero A., Greenberg D.S., Gonçalves P.J., Macke J.H. (2022) GATSBI: Generative Adversarial Training for Simulation-Based Inference. International Conference on Learning Representations (ICLR).
Valle A.F., Gonçalves P.J.@, Seelig J.D.@ (2021) Integration of sleep homeostasis and navigation in Drosophila. PLoS Computational Biology, 17(7): e1009088.
Llorens-Rico V., Vieira-Silva S., Gonçalves P.J., Falony G., Raes J. (2021) Benchmarking microbiome transformations favors experimental, quantitative approaches to address compositionality and sampling depth biases. Nature Communications, 12, 3562.
Lueckmann J.-M., Boelts J., Greenberg D.S., Gonçalves P.J., Macke J.H. (2021) Benchmarking simulation-based inference. In The 24th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 130:343-351.
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.
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.
Selected peer-reviewed abstracts
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)
*equal contributions, @corresponding author(s)