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Posts
How likely that someone we know dies from COVID-19?
The pandemic caused by the SARS-CoV-2 virus continues to spread and dominate daily life in 2020. Yet, despite the alarming numbers reported (“X millions of cases!”) it can feel abstract. As humans, we tend to care a lot more about our tribe than about anonymous people. With that in mind, what is the probability someone we care about dies from COVID-19? Read more
2AM, somewhere over the Atlantic Ocean
I’m one of the very few not sleeping in the airplane, hopefully including the pilots. I have a window seat, and the opportunity to write under a sky full of stars over the Atlantic Ocean seemed too precious not to take. Here I am, higher than the Everest and 4x faster than an ICE train. If the airplane went a little faster there would be a bang and I would be faster than the speed of sound. If it went up a little I would confirm that, indeed, the Earth is round. A little more and the number of stars in the moonlit sky would explode. Going further, I’d be able to look down and conclude that our planet really is a pale blue dot. Maybe I will in the future, if space tourism happens in my lifetime. Read more
publications
Inhibition as a determinant of activity and criticality in dynamical networks
Published in arXiv, 2017
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:1712.08816v1 [Link]
Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements
Published in Frontiers in Systems Neuroscience, 2018
Wilting J., Dehning, J., Pinheiro Neto, J., Rudelt, L., Wibral, M., Zierenberg, J., Priesemann, V., Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements. Front. Syst. Neurosci. 12, (2018). [Link]
A unified picture of neuronal avalanches arises from the understanding of sampling effects
Published in biorxiv, 2019
Neto, J. P., Spitzner, F. P. & Priesemann, V. A unified picture of neuronal avalanches arises from the understanding of sampling effects. (2019). doi:10.1101/759613 [Link]
Inferring COVID-19 spreading rates and potential change points for case number forecasts
Published in Science, 2020
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, 15,eabb9789 [Link]
MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity
Published in arXiv, 2020
Spitzner, F. P., Dehning, J., Wilting, J., Hagemann, A., Neto, J. P., Zierenberg, J., & Priesemann, V. (2020). MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity. http://arxiv.org/abs/2007.03367 [Link]