About me

My project: Neuromorphic Embedded Processing for Touch   READ MORE

Research Topics: Neuromorphic Circuit, Spiking Neural Network

Institution: University of Groningen


  • BCs in Electronic engineering (Politecnico di Milano, 2013-2016)
  • MCs in Electronic engineering (Politecnico di Milano, 2016-2019)

Nationality: Italian

Research Interest

The comparison between different approaches, followed by humans and by nature in problem solving, always charmed me. I have always wanted to merge these two worlds in order to create new structures. I, therefore, decided to pursue my idea in the neuromorphic engineering area.

Neutouch for me

Neutouch collects together different ingredients for a potential great recipe: lot of students with different expertise, distributed across Europe and willing to collaborate in a shared project.


ESR15 - Neuromorphic Embedded Processing for Touch

  • Overview


    Identification of neural network architectures for reproducing biological receptive field responses and implementation in neuromorphic hardware. Design, simulation, fabrication and characterization of neuromorphic circuits for spike-based computation of tactile sensory data. Evaluation of network performances with methods used in computational neuroscience to infer the information content about the stimulus (see Research Theme 6). Integration with sensors developed in Research Themes 13 and 14.


    ESR15 will design and develop novel neuromorphic circuits and systems for emulating biological tactile sensing. To this end the modeling work performed in WP1 will be adapted to the analog VLSI implementation; furthermore, suitable interfaces to the sensors developed in WP3 will be designed. The final embedded system, targeted at reproducing biological RF responses, will substantially advance the state-of-the-art.

  • Secondments

    • IIT-CNCS:

      to learn SNN models

    • UoG:

       integration of RF hardware with nanowire FET devices

    • Ossur:

      integration on prosthetic device

  • Supervisors

    • E. Chicca,
    • R. Dahiya,
    • S. Panzeri,
    • Á. Alexandersson
  • Tags

This project has received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant agreement No. 813713 ).
© Neutouch Project