CV

Complete CV

Education

• PhD in Physics, University of Göttingen (2021)
  • Title: Criticality and sampling in neural networks
  • Supervisor: Dr. Viola Priesemann
• MSc in Physics, State University of Campinas (2014)
  • Title: A study on the dynamics of neural networks
  • Supervisor: Prof. Dr. Jose Antonio Brum
• BSc in Physics, State University of Campinas (2011)

Professional experience

• 02/2023 - present: Postdoctoral Researcher at the University of Konstanz (Germany)
  • Description: Researcher at the Social Data Science Lab, under Prof. David Garcia
• 02/2021 - 01/2023: Postdoctoral Researcher at the Max Planck Institute for Dynamics and Self-Organization (Germany)
  • Description: Researcher at the Physics of social systems group, under Dr. Knut Heidemann
• 02/2015-01/2021: PhD Candidate at the Max Planck Institute for Dynamics and Self-Organization (Germany)
  • Description: member of the Neural systems theory group, under Dr. Viola Priesemann
  • Funding: National Council for Scientific and Technological Development (CNPq) & Max Planck Society
• 11/2013-03/2014: Visiting Researcher at the University of Bremen (Germany)
  • Description: stay at the Complex Systems Lab, under Prof. Dr. Stefan Bornholdt
  • Funding: Sao Paulo Research Foundation (FAPESP)
• 2009-2011: Teaching Assistant at the State University of Campinas (Brazil)
  • Description: Teaching of classes and holding office hours for undergraduate disciplines.
  • Disciplines: Experimental Physics I (2009, 2011), Probability I (2010)

Skills

• Modelling

• Data Analysis

• Computational:

  • Proficient: python, SQL, MongoDB, MATLAB, git, bash
  • Basic: R, Julia, Mathematica, C/C++

Publications

Inhibition as a determinant of activity and criticality in dynamical networks

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

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

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).

A unified picture of neuronal avalanches arises from the understanding of sampling effects

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

Inferring COVID-19 spreading rates and potential change points for case number forecasts

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

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

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