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Posts

How likely that someone we know dies from COVID-19?

5 minute read

Published: June 01, 2020

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

1 minute read

Published: January 10, 2019

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

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Recommended citation: 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
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Operating in a Reverberating Regime Enables Rapid Tuning of Network States to Task Requirements

Published in Frontiers in Systems Neuroscience, 2018

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Recommended citation: 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).
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Sampling effects and measurement overlap can bias the inference of neuronal avalanches

Published in arXiv, 2019

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Recommended citation: Neto, J. P., Spitzner, F. P., & Priesemann, V. (2019). Sampling effects and measurement overlap can bias the inference of neuronal avalanches. arXiv:1911.10824.
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Inferring COVID-19 spreading rates and potential change points for case number forecasts

Published in Science, 2020

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Recommended citation: 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
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MR. Estimator, a toolbox to determine intrinsic timescales from subsampled spiking activity

Published in arXiv, 2020

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Recommended citation: 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
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research

Other projects

Projects on various topics (physics, neuroscience, epidemiology) that I’ve worked on during my academic career. Read more

Social media analysis

Social media is multifaceted, non-stationary and heterogeneous. I focus on understanding both the dynamics of platforms, and of issues (news-sharing, inequality, etc) within platforms. Read more

Social media simulation

In the context of the DesiRE project, we aim to build a large-scale LLM-enabled simulation of Reddit-like and Twitter-like social media platforms. Read more