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)

A theory of generalised coordinates for stochastic differential equations.
Da Costa, L., Da Costa, N., Heins, C., Medrano, J., Pavliotis, G.A., Parr, T., Meera, A.A. and Friston, K.
Under review (2024) Preprint: arXiv:2409.15532

BSD: a Bayesian framework for parametric models of neural spectra.
Medrano, J., Alexander, N., Seymour, R.A., Zeidman, P.
Under review (2024) Preprint: arXiv:2410.20896

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