# Ángel Canal-Alonso > My research asks where, when and how to stimulate neural circuits in epilepsy. I approach these questions with dynamical systems, modelling and reservoir computing for implantable devices. Postgraduate researcher · University of Glasgow. Source: [Personal research portfolio](https://acanal.me/). ## Research questions ### Where to stimulate Choosing stimulation targets through dynamical systems and modelling. Status: Work in progress. An open research direction: using dynamical systems and models of neural activity to investigate stimulation targets. This work is in progress. ### When to stimulate Event detection and seizure prediction from neural time series. Related studies: - [Time-series segmentation](https://doi.org/10.1371/journal.pone.0309550), 2025. Journal article. - [Bidirectional-pass detection](https://doi.org/10.1007/978-3-030-54568-0_20), 2021. Conference paper. - [Transformer encoder prediction](https://doi.org/10.1007/s10827-024-00871-5), 2024. Conference abstract. ### How to stimulate Biohybrid loops, stimulation patterns and synthetic neural time series. Related studies: - [CA3-inspired stimulation](https://doi.org/10.3390/biology11030371), 2022. Journal article. - [Biohybrid hippocampal loop](https://doi.org/10.1088/1741-2552/ace931), 2023. Journal article. - [Reservoir-generated stimulation](https://doi.org/10.1016/j.brs.2026.103188), 2026. Journal article. - [Synthetic neural time series](https://doi.org/10.12751/nncn.bc2024.171), 2024. Conference abstract. ## Selected publications This selection contains 8 entries. [Google Scholar](https://scholar.google.es/citations?user=1Ms-s3IAAAAJ&hl=es) provides a broader publication profile. The descriptions below are the portfolio's summaries; the linked publications contain the original studies. ### Minimal reservoir computing generates hippocampal-inspired stimulation for open-loop modulation of cortical networks in vitro Ángel Canal-Alonso, Adam Armada-Moreira, Alessio Di Clemente, María Cerezo-Sánchez, Antonia Pavlidou, Danial Kiamarsi, Michele Giugliano, Hadi Heidari. 2026. Brain Stimulation, 19(5), 103188. Journal article. A compact reservoir model generates brain-inspired timing patterns for an open-loop study of cortical-network modulation in vitro. - [Paper](https://doi.org/10.1016/j.brs.2026.103188) - [Data](https://figshare.com/articles/dataset/Biomimetic_Signal_Generators_in_Epilepsy_Neuromodulation_with_Reservoir_Computing/28898690) ### Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro Gabriel Galeote-Checa, Gabriella Panuccio, Angel Canal-Alonso, Bernabe Linares-Barranco, Teresa Serrano-Gotarredona. 2025. PLOS ONE, 20(1), e0309550. Journal article. Time-series segmentation methods identify epileptiform events in recordings from hippocampus-cortex slices. - [Paper](https://doi.org/10.1371/journal.pone.0309550) - [Data](https://doi.org/10.5281/zenodo.10154332) ### Transformer Encoder Based MEA Epileptic Seizure Prediction Marco Hernández Pérez, Ángel Canal-Alonso, Guillermo Hernández, Sara Rodríguez, Angélica González, Fernando de la Prieta, Javier Prieto, Juan Manuel Corchado. 2024. Journal of Computational Neuroscience, 52(Suppl. 1), S32–S33 · CNS*2023 abstract P29. Conference abstract. An exploratory study of Transformer encoders for seizure-onset prediction from microelectrode-array recordings. - [Abstract collection](https://doi.org/10.1007/s10827-024-00871-5) The DOI links to the CNS*2023 abstract collection; this contribution is P29, pages S32–S33. ### TSG-DDT: Time-Series Generative Denoising Diffusion Transformers Marco Zurdo-Tabernero, Pablo Enrique-Guillem, Ángel Canal-Alonso, Guillermo Hernández, Angélica González-Arrieta, Juan Manuel Corchado. 2024. Bernstein Conference 2024. Conference abstract. Diffusion and Transformer models generate synthetic neural time series, with brain-inspired stimulation as a proposed application. - [Abstract](https://doi.org/10.12751/nncn.bc2024.171) ### Biohybrid restoration of the hippocampal loop re-establishes the non-seizing state in an in vitro model of limbic seizures Davide Caron, Stefano Buccelli, Angel Canal-Alonso, Javad Farsani, Giacomo Pruzzo, Bernabé Linares Barranco, Juan Manuel Corchado, Michela Chiappalone, Gabriella Panuccio. 2023. Journal of Neural Engineering, 20(4), 046021. Journal article. An artificial connection uses ongoing hippocampal activity to restore circuit communication in a brain-slice model. - [Paper](https://doi.org/10.1088/1741-2552/ace931) ### An affordable implantable vagus nerve stimulator system for use in animal research Ángel Canal-Alonso, Roberto Casado-Vara, Orlando Castellano, Jorge Herrera-Santos, Jaime Gonçalves, Sergio Màrquez-Sànchez, Jesús María Gonçalves, Juan Manuel Corchado. 2022. Philosophical Transactions of the Royal Society A, 380(2228), 20210010. Journal article. Design and validation of a miniaturized, implantable vagus nerve stimulator for animal research. - [Paper](https://doi.org/10.1098/rsta.2021.0010) ### Mimicking CA3 Temporal Dynamics Controls Limbic Ictogenesis Davide Caron, Ángel Canal-Alonso, Gabriella Panuccio. 2022. Biology, 11(3), 371. Journal article. A study of stimulation patterns that mimic the temporal structure of hippocampal CA3 activity in vitro. - [Paper](https://doi.org/10.3390/biology11030371) ### Bidirectional-Pass Algorithm for Interictal Event Detection David García-Retuerta, Angel Canal-Alonso, Roberto Casado-Vara, Angel Martin-del Rey, Gabriella Panuccio, Juan M. Corchado. 2021. PACBB 2020, Advances in Intelligent Systems and Computing, 1240, 197–204. Conference paper. A mathematical algorithm detects interictal events in neural recordings, contributing to the analysis of epileptiform activity. - [Paper](https://doi.org/10.1007/978-3-030-54568-0_20) ## About I'm a postgraduate researcher in the Microelectronics Lab at the University of Glasgow. I use computational models to generate brain-inspired signals for neuromodulation, and study how their timing can inform stimulation for epilepsy. My work connects computational models with in vitro experiments. I also work on bioactive, adaptive coatings for neural probes, looking at the materials between a device and living tissue. ## About the interactive figures The first figure uses a network of 16 Kuramoto phase oscillators to generate six observed channels. Four delayed observations per channel form a 24-dimensional representation, displayed through a fixed three-dimensional principal-component projection. The traces and trajectory come from the same samples. A finite phase-dependent input changes the model, and the visitor can observe its response. This is an illustration of coordination and perturbation, not an experimental recording or a validated seizure or treatment model. The phase-only model does not describe an amplitude Hopf bifurcation. The research landscape is an authored navigation map. Its regions organize studies by research question, and its connections describe shared subjects or methods. Height, distance and basin depth are not measurements of similarity, scientific merit or clinical effectiveness. The Where direction is work in progress and has no publication marker. ## Contact and profiles - [Contact through LinkedIn](https://linkedin.com/in/angel-canal) - [University profile](https://www.gla.ac.uk/pgrs/angelcanalalonso/) - [ORCID](https://orcid.org/0000-0002-4254-5944) - [Google Scholar](https://scholar.google.es/citations?user=1Ms-s3IAAAAJ&hl=es) - [GitHub](https://github.com/AngelCanal)