Christian Ferreyra

Researcher & Engineer

My primary research interest is to understand the nature of consciousness and its relationship to physical reality.

Present

As a PhD student, I study how human brains and artificial neural networks represent and process the natural world. I analyze how acoustic information is transformed into meaning using geometric approaches, information theory, and brain imaging data collected while participants listen to natural sounds.

Selected Publications

Auditory redundant and synergistic representations between brain and artificial neural networks revealed by information-theoretic decomposition

Ferreyra C, Plegat M, Marinato G, et al. International Conference on Auditory Cortex (ICAC), 2025, Maastricht. Poster presentation.
Disentangling redundant and synergistic interactions in the alignment between auditory brains and machines

Ferreyra C, Plegat M, Marinato G, et al. Computational Cognitive Neuroscience (CCN), 2025, Amsterdam. Poster presentation.
HOI: A Python toolbox for high-performance estimation of Higher-Order Interactions from multivariate data

Neri M, Vinchhi D, Ferreyra C, et al. Journal of Open Source Software, 2024.

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Projects

HOI

High-performance estimation of Higher-Order Interactions from multivariate data. JAX-based implementation of information-theoretic metrics including O-Information, Interaction Information, and Total Correlation.
EEGFLOW

Web application for cloud-based EEG analysis using visual block diagrams. Built with React, Django REST Framework, MNE-Python, and SciPy.

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Contact

If you are interested in working on consciousness, or on how brains and machines represent information, I would love to discuss!

Institut de Neurosciences de la Timone, Laboratoire d'Informatique et Systèmes
Marseille, France
chrisferreyra13[at]gmail[dot]com