Publications

You can also find my articles on my Google Scholar profile.

Tracking slow gain modulation with dynamic causal models.
Medrano, J., et al.
In preparation (2024)

BSD: a Bayesian framework for parametric models of neural spectra.
Medrano, J., Alexander, N., Seymour, R.A., Zeidman, P.
Under review (2024)

A broken duet: multistable dynamics in dyadic interactions.
Medrano, J., Sajid, N.
Entropy (2024) DOI: 10.3390/e26090731
Code: Python

Reverse-engineering artificial life under the free-energy principle
Medrano, J.
ALIFE 2024: Proceedings of the 2024 Artificial Life Conference DOI: 10.1162/isal_a_00808

Assessing Time Series Correlation Significance: A Parametric Approach with Application to Physiological Signals.
Medrano, J., Kheddar, A., Ramdani, S.
Biomedical Signal Processing and Control (2024) DOI: 10.1016/j.bspc.2024.106235
Code: Python

Linking fast and slow: the case for generative models.
Medrano, J., Friston, K., Zeidman, P.
Network Neuroscience (2023) DOI: 10.1162/netn_a_00343

Radius selection using kernel density estimation for the computation of nonlinear measures.
Medrano, J., Kheddar, A., Lesne, A., Ramdani, S.
Chaos: An Interdisciplinary Journal of Nonlinear Science (2021). DOI: 10.1063/5.0055797
Code: Python, Matlab

Enabling Machine Learning Across Heterogeneous Sensor Networks with Graph Autoencoders.
Medrano, J. and Lin, F.J.
Ambient Intelligence: 15th European Conference, AmI 2019, Rome, Italy, November 13–15, 2019, Proceedings 15. Springer International Publishing, 2019. DOI: 10.1007/978-3-030-34255-5_11