About me

Hello, I’m Filippo Castellani, a PhD Candidate in Translational Neuroengineering. With a background in engineering and a longstanding passion for neuroscience, I research novel bioelectronic solutions that advance neural restoration and rehabilitation.

Currently:

  • Currently attending NER 2025

    IEEE NER 2025

    ☁ CLICK to download the poster ☁
    Title: Swine pudendal nerve intraneural stimulation enables selective neuromodulation of urethral and anal external sphincters.
    Authors: Filippo Castellani, Alice Giannotti, Naif Onur Ceylan, Chiara Di Franco, Khatia Gabisonia, Stefania Musco, Giulio Del Popolo, Angela Briganti, Vincenzo Miragliotta, Silvestro Micera.

  • Currently attending SfN 2025

    Society for Neuroscience 2025

    ☁ CLICK to download the poster ☁
    Title: Swine pudendal nerve intraneural stimulation enables selective neuromodulation of urethral and anal external sphincters.
    Authors: Filippo Castellani, Alice Giannotti, Naif Onur Ceylan, Chiara Di Franco, Khatia Gabisonia, Stefania Musco, Giulio Del Popolo, Angela Briganti, Vincenzo Miragliotta, Silvestro Micera.

  • Current project

    PhD in Biorobotics @ Scuola Superiore Sant'Anna

    Bioelectronics and Bioengineering Area
    Developing neuroprosthetic solutions to restore autonomic functions and improve the quality of life of people with neurological disorders. Working in particular on closed-loop implantable systems for bladder control after spinal cord injury, by combining novel intraneural interfaces, selective neuromodulation of peripheral nerves, neural decoding algorithms, and translational validation in large-animal models.

Filippo Castellani
Quote

Filippo Castellani

Visual Information Processing Research Team: Neural Coding and Vision Restoration.
Research biological neural network behaviours through Retinal Ganglion Cells (RGC) response analysis, during natural movies elicitatation. Assist multi-electrode array experiments on ex-vivo murine retinas. Analyse and model the electrophysiological response of retinal ganglion neurons, to uncover visual features extracted at this level of the visual pathway, focusing on recently discovered contrast encoding.
More info: Here Python, Jupyter Notebook Linux/Unix System

Fascinated by:

  • Neuron

    Neural Coding & Modeling

    Neurosensorial information coding and networks emergent behaviours.

  • Central processing unit

    Electronic Design for Prosthetics

    Function restoration devices such as Retinal prostheses and Cochlear Implants.

  • BCI

    AI & Brain Computer Interfaces

    BCIs for enhancement of human capabilities and rehabilitation of impaired function, leveraging on AI.

  • Coding

    Software Development

    Implementation of optimized signal processing algorithms and machine learning models.

Resume

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Publications

  1. Accurate spatiotemporal retinal responses require a color intensity balance fine-tuned to natural conditions

    [Link] - Year of publication: 2025

    Castellani F., Louboutin A., T. Quétu; Baroux R.; Ferrari U.; Goldin M.A.
    Journal: bioRxiv 2025, 16, 643035.

  2. Cortico-Muscular Coupling to Control a Hybrid Brain-Computer Interface for Upper Limb Motor Rehabilitation: A Pseudo-Online Study on Stroke Patients.

    [Link] - Year of publication: 2022

    de Seta, V.; Toppi, J.; Colamarino, E.; Molle, R.; Castellani, F.; Cincotti, F.; Mattia, D.; Pichiorri, F.
    Journal: Frontiers Human Neuroscience 2022, 16, 1016862.

Conferences & Partecipations

  1. Society for Neuroscience - November 2025 - (San Diego, California)

    Conference abstract available here: [Link]

    Title: Swine pudendal nerve intraneural stimulation enables selective neuromodulation of urethral and anal external sphincters.
    Castellani F.; Giannotti A.; Ceylan N.; Di Franco C.; Gabisonia K.; Musco S.; Del Popolo G.; Briganti A.; Miragliotta V.; Micera S.

  2. European Retina Meeting - October 2025 - (Pécs, Hungary)

    Conference abstract available here: [Link]

    Title: Balanced spatiotemporal retinal responses require a color intensity fine-tuned to natural conditions.
    T. Quétu, Castellani F., Louboutin A.; Baroux R.; Ferrari U.; Goldin M.A.

Experience

  1. Institut de La Vision, Paris, FR

    Research Internship : Oct 2023 - Apr 2024

    Visual Information Processing Research Team: Neural Coding and Vision Restoration.
    Tasks:
    - Research biological neural network behaviours through Retinal Ganglion Cells (RGC) response analysis, during natural movies elicitatation.
    - Assist multi-electrode array experiments on ex-vivo mouse retina.
    - Analyse and model the electrophysiological response of retinal ganglion neurons, to uncover visual features extracted at this level of the visual pathway, focusing on contrast encoding.

    Tools:
    Python, Jupyter Notebooks, Linux/Unix System

  2. S.Lucia Foundation IRCCS, Rome, IT

    Research Engineer : Sep 2021 - Sep 2023 RECOMMENCER Project: Completed clinical trial, more information here: [Link].

    Brain Computer Interface (BCI) implementation. Corticomuscular Coherence-based BCI for rehabilitation of the upper limb on post-stroke subjects.
    Tasks:
    - Develop real-time computational core for BCI that performed EEG and EMG signal analysis.
    - Create feature visualization and rehab session management UI.
    - Design and integrate information processing modules in a cohesive data pipeline, from acquisition to sensorial neurofeedback.
    - Write documentation and software version managing.

    Tools:
    Matlab, Python, XML, OpenVibe

Education

  1. Scuola Superiore Sant'Anna, Pisa, IT

    PhD Biorobotics [since Oct 2024]:

    Thesis: currently under development.

  2. Politecnico di Milano, Milan IT

    MSc Biomedical Engineering - Technologies for Electronics [Sep 2021 - Jul 2024]:

    Thesis: Retinal Ganglion Cells responses to color natural scenes: a method for visual stimulation during Multi Electrode Array recordings.
    Thesis is available at the following link.

  3. Sapienza Università di Roma, Rome, IT

    BSc Clinical Engineering [Sep 2018 - Oct 2021]:

    Thesis: Coherence-Based BCI for Rehabilitation: Feature Extraction and Experimental Assessment.
    Tasks:
    - Perform research on state of-the-art use of coherence-based BCI.
    - Implementing via Python, a feature extraction algorithm executable within the OpenVibe Software framework.
    - Conduct laboratory test of features extraction from non-pathological subjects.

  4. Conservatory of Music Santa Cecilia, Rome, IT

    Jazz Drum [2011-2015] & Electronic Music [2018-2019] :

    Completed coursework in composition, music theory, practical application of signal theory to sound.
    Proficient in solfége, piano and drum techniques, as well as orchestral performance.

Projects

Contact

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