PhD in Physics. Postdoc @Uni-Graz.
Neto JP, Spitzner FP, Priesemann V (2022) Sampling effects and measurement overlap can bias the inference of neuronal avalanches. PLoS Comput Biol 18(11): e1010678.
Spitzner FP, Dehning J, Wilting J, Hagemann A, P. Neto J, Zierenberg J, et al. (2021) MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. PLoS ONE 16(4): e0249447.
Dehning, J., Spitzner, F. P., Linden, M. C., Mohr, S. B., Pinheiro Neto, J., Zierenberg, J., Wibral, M., Wilczek, M., & Priesemann, V. (2020). Model-based and model-free characterization of epidemic outbreaks. MedRxiv, 2020.09.16.20187484.
Dehning, J., Zierenberg, J., Spitzner, F. P., Wibral, M., Neto, J. P., Wilczek, M., & Priesemann, V. (2020). Inferring change points in the spread of COVID-19 reveals the effectiveness of interventions. Science, 369(6500), eabb9789.
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. Frontiers in Systems Neuroscience, 12(November).
Pinheiro Neto, J., de Aguiar, M. A. M., Brum, J. A., & Bornholdt, S. (2017). Inhibition as a determinant of activity and criticality in dynamical networks. arXiv 1712.08816
Neto, J. P. (2021). Criticality and sampling in neural networks. PhD Thesis, University of Göttingen.
Pinheiro Neto, J. (2014). A study on the structure and dynamics of complex networks. MSc Thesis, State University of Campinas.
Pinheiro Neto, J. (2011). Parametrization of the photoelectron response from the surface module of the Pierre Auger Observatory. BSc Monograph, State University of Campinas (in Portuguese).
