01 / Observe
Activity across channels.
Follow the highlighted samples from six interacting signals.
Neural dynamics · Epilepsy · Neuromodulation
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.
FIG. 01From activity to structure
Six signals are generated by interacting oscillators. Follow a short window of activity into a different view of the same samples.
A brief input. Then the network responds.
About this figure
A network of coupled Kuramoto phase oscillators generates six observed channels. Delayed samples from those channels form a higher-dimensional representation, shown here through a fixed three-dimensional principal-component projection.
The same observations drive the traces and the trajectory. A finite, phase-dependent input changes oscillator timing; coupling then governs the response. The projection and scale stay fixed throughout.
This is an illustration of phase coordination and perturbation, not an experimental recording or a model of treatment efficacy. The phase-only model does not describe an amplitude Hopf bifurcation.
16 oscillators · 6 observed channels · 4 delays per channel. Delays: 0, 0.133, 0.267, 0.400 model seconds. RK4 integration at 120 Hz; observations at 30 Hz. A 1.6-second input acts on four phase groups.
02 / Reconstruct
The same signals.
A different space.
Recent history becomes coordinates. The same samples trace a path through a reconstructed space.
03 / Intervene
Change the timing.
Watch the response.
Apply a brief input, then follow the network's response under its original coupling.
01 / INTRODUCTIONSelected research
01 / Three questions
Research
Where, when and how to stimulate. Three connected questions for neuromodulation in epilepsy.
Fig. 02Where, when and how to stimulate
07 selected works
The map follows three questions about stimulation. Where is work in progress; When and How connect the papers and conference contributions below.
- Where to stimulate Work in progressChoosing stimulation targets through dynamical systems and modelling.
- When to stimulate Event detection and seizure prediction from neural time series.
- How to stimulate Biohybrid loops, stimulation patterns and synthetic neural time series.
Where to stimulateWork in progress
Where can stimulation influence neural dynamics?
An open research direction: using dynamical systems and models of neural activity to investigate stimulation targets. This work is in progress.
01 / 07When to stimulate
Time series segmentation for recognition of epileptiform patterns recorded via microelectrode arrays in vitro
2025
PLOS ONE, 20(1), e0309550
Time-series segmentation methods identify epileptiform events in recordings from hippocampus-cortex slices.
02 / 07When to stimulate
Bidirectional-Pass Algorithm for Interictal Event Detection
2021 Conference paper
PACBB 2020, Advances in Intelligent Systems and Computing, 1240, 197–204
A mathematical algorithm detects interictal events in neural recordings, contributing to the analysis of epileptiform activity.
03 / 07When to stimulate
Transformer Encoder Based MEA Epileptic Seizure Prediction
2024 Conference abstract
Journal of Computational Neuroscience, 52(Suppl. 1), S32–S33 · CNS*2023 abstract P29
An exploratory study of Transformer encoders for seizure-onset prediction from microelectrode-array recordings.
The DOI links to the CNS*2023 abstract collection; this contribution is P29, pages S32–S33.
04 / 07How to stimulate
Mimicking CA3 Temporal Dynamics Controls Limbic Ictogenesis
2022
Biology, 11(3), 371
A study of stimulation patterns that mimic the temporal structure of hippocampal CA3 activity in vitro.
05 / 07How to stimulate
Biohybrid restoration of the hippocampal loop re-establishes the non-seizing state in an in vitro model of limbic seizures
2023
Journal of Neural Engineering, 20(4), 046021
An artificial connection uses ongoing hippocampal activity to restore circuit communication in a brain-slice model.
06 / 07How to stimulate
Minimal reservoir computing generates hippocampal-inspired stimulation for open-loop modulation of cortical networks in vitro
2026
Brain Stimulation, 19(5), 103188
A compact reservoir model generates brain-inspired timing patterns for an open-loop study of cortical-network modulation in vitro.
07 / 07How to stimulate
TSG-DDT: Time-Series Generative Denoising Diffusion Transformers
2024 Conference abstract
Bernstein Conference 2024
Diffusion and Transformer models generate synthetic neural time series, with brain-inspired stimulation as a proposed application.
Shared topics guide this conceptual layout. Height and distance do not measure similarity.
View all selected publications02 / Selected papers
Publications
- 2026
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
Brain Stimulation, 19(5), 103188
A compact reservoir model generates brain-inspired timing patterns for an open-loop study of cortical-network modulation in vitro.
- 2025
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
PLOS ONE, 20(1), e0309550
Time-series segmentation methods identify epileptiform events in recordings from hippocampus-cortex slices.
- 2024
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
Conference abstract · Journal of Computational Neuroscience, 52(Suppl. 1), S32–S33 · CNS*2023 abstract P29
An exploratory study of Transformer encoders for seizure-onset prediction from microelectrode-array recordings.
The DOI links to the CNS*2023 abstract collection; this contribution is P29, pages S32–S33.
- 2024
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
Conference abstract · Bernstein Conference 2024
Diffusion and Transformer models generate synthetic neural time series, with brain-inspired stimulation as a proposed application.
- 2023
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
Journal of Neural Engineering, 20(4), 046021
An artificial connection uses ongoing hippocampal activity to restore circuit communication in a brain-slice model.
- 2022
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
Philosophical Transactions of the Royal Society A, 380(2228), 20210010
Design and validation of a miniaturized, implantable vagus nerve stimulator for animal research.
- 2022
Mimicking CA3 Temporal Dynamics Controls Limbic Ictogenesis
Davide Caron, Ángel Canal-Alonso, Gabriella Panuccio
Biology, 11(3), 371
A study of stimulation patterns that mimic the temporal structure of hippocampal CA3 activity in vitro.
- 2021
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
Conference paper · PACBB 2020, Advances in Intelligent Systems and Computing, 1240, 197–204
A mathematical algorithm detects interictal events in neural recordings, contributing to the analysis of epileptiform activity.
04 / A question I work on
How can the timing of neural activity inform stimulation for epilepsy?
About me
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.
05 / Contact