Joao Pinheiro Neto

Joao Pinheiro Neto

PhD in Physics. Postdoc @Uni-Graz.

Other projects

I have worked on diverse research projects spanning multiple disciplines, ranging from Statistical Physics to Epidemiology to Computational Neuroscience.

Computational Neuroscience

In my PhD, I worked on developing and validating physics-inspired models for large-scale brain activity. We find that coarse-sampled signals of neuronal activity are prone to spurious correlations and autocorrelated measures of neuronal activity should preferably use spiking signals [1,2].

Publications

  1. Neto, J.P., Spitzner, F.P., Priesemann, V., 2022. Sampling effects and measurement overlap can bias the inference of neuronal avalanches. PLOS Computational Biology 18, e1010678. DOI:10.1371/journal.pcbi.1010678
  2. Pinheiro Neto, J., 2021. Criticality and sampling in neural networks (Doctoral Thesis). DOI:10.53846/goediss-8439
  3. Spitzner, F.P., Dehning, J., Wilting, J., Hagemann, A., Neto, J.P., Zierenberg, J., Priesemann, V., 2021. MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. PLOS ONE 16, e0249447. DOI:10.1371/journal.pone.0249447
  4. Wilting, J., Dehning, J., Pinheiro Neto, J., Rudelt, L., Wibral, M., Zierenberg, J., Priesemann, V., 2018. Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements. Front. Syst. Neurosci. 12. DOI:10.3389/fnsys.2018.00055

Epidemiology

During the COVID-19 pandemic, we worked on analysing the effect of lockdowns on the initial spreading of the virus [1,2]. This work was highly publicized, and impactful in the context of the pandemic in Germany.

Publications

  1. Dehning, J., Zierenberg, J., Spitzner, F.P., Wibral, M., Neto, J.P., Wilczek, M., Priesemann, V., 2020b. Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science 369, eabb9789. DOI:10.1126/science.abb9789
  2. Dehning, J., Spitzner, F.P., Linden, M.C., Mohr, S.B., Neto, J.P., Zierenberg, J., Wibral, M., Wilczek, M., Priesemann, V., 2020. Model-based and model-free characterization of epidemic outbreaks. DOI:10.1101/2020.09.16.20187484

Complex Systems

From my background in Physics, I’m interested in modelling of complex systems and networks in general [1]. In particular, I’m interested in the interplay between dynamics and topology in evolving, complex networks [2].

Publications

  1. Neto, J.P., Aguiar, M.A.M. de, Brum, J.A., Bornholdt, S., 2017. Inhibition as a determinant of activity and criticality in dynamical networks. DOI:10.48550/arXiv.1712.08816
  2. Pinheiro Neto, J., 2014. A study on the structure and dynamics of complex networks (Mestre em Física). Universidade Estadual de Campinas, Campinas, SP. DOI:10.47749/T/UNICAMP.2014.938506