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.
