Ludovico Minati






LUDOVICO MINATI (AM’00-M’04-SM’13) received the B.S. degree in Information Technology and Computing and the M.S. degree in Science from The Open University, Milton Keynes, U.K., in 2004 and 2006, respectively, the M.S. degree in Applied Cognitive Neuroscience from the University of Westminster, London, U.K., in 2008, the B.S. degree in Physical Science and the M.S. degree in Medical Physics from The Open University in 2009, the Ph.D. degree in Neuroscience from the Brighton and Sussex Medical School, Falmer, U.K., in 2012, and the D.Sc. (doktor habilitowany) degree in Physics from the Institute of Nuclear Physics - Polish Academy of Sciences (IFJ-PAN), Krakow, Poland, in 2017. He has held research and consulting roles across private companies and public institutions including the Carlo Besta Neurological Institute, Milan, Italy, the Brighton and Sussex Medical School (Falmer, UK)and the Institute of Nuclear Physics-Polish Academy of Sciences, Krakow, Poland". He has authored over 100 articles, and five inventions. He is currently Specially-appointed Associate Professor at the Institute of Innovative Research-Tokyo Institute of Technology, Japan, Guest Fellow at the Center for Mind/Brain Sciences, University of Trento, Italy, and Freelance Consultant. His research interests include non-linear dynamical systems, chaotic oscillators, reconfigurable analog and digital computing, functional magnetic resonance imaging, advanced techniques for bio-signal analysis, brain ma-chine/computer interfaces, and robotics. He is a Senior Member of the Institute of Electric and Electronic Engineers (IEEE; NY, USA) and Chartered Engineer and member of the Institution of Engineering and Technology (IET; Stevenage, UK). He is also a member of the Institute of Electronics, Information and Communication Engineers (IEICE), and the Japan Neuroscience Society.


My main motivation for conducting research at WRHI is connecting and collaborating with other researchers and academics at the Tokyo Institute of Technology, in Japan and throughout the entire world. WRHI provides the ideal environment for augmentative interaction and collaboration, fostering new ideas, and multidisciplinary precursory exploration.


  • Nonlinear dynamics and complexity at the interface between biological and engineering systems

    Our main research interest is currently how complex synchronization patterns and collective dynamics emerge in non-linear physical and neural systems. We approach this topic primarily by numerically and experimentally investigating diverse electronic circuits based on single transistors, amplifiers, field-programmable analog arrays (FPAAs), custom integrated circuits and gas-discharge tubes. We attempt to establish relationships with properties of brain activity recorded at the macro-scale (e.g., whole-brain functional MRI), meso-scale (e.g., neurons cultured on micro- arrays) and micro-scale (e.g., single neurons). We are particularly interested in the application of non-linear dynamical concepts to bio-inspired robotics, brain-machine interfaces and distributed systems. We are aiming to lay the precursors for completely new approaches to brain-machine interfacing and to the development of brain-inspired machines.
    Periods : year 2017 to year 2020
    Members : Professor Hiroyuki Ito, Professor Yasuharu Koike, Professor Natsue Yoshimura (TokyoTech) collaborating with Professor Stanislaw Drozdz (Polish Academy of Science, Krakow, Polan) and Professor Mattia Frasca (University of Catania, Italy)

    Bio-inspired roboticsChaotic oscillatorElectroencephalogram and brain-computer interfaceNetwork theoryNonlinear dynamics

2016- to current

Lecturer, Faculty of Computer Science, Free University of Bolzano, Italy

2016- to current

Guest Fellow, Center for Mind/Brain Science, University of Trento, Italy

2016- to 2019

Visiting Professor, Complex Systems Theory Department, Institute of Nuclear Physics – Polish Academy of Science, Krakow, Poland

2016- to current

Institute of Innovative Research, Tokyo Institute of Technology, Specially Appointed Associate Professor


Ludovico Minati ; Mattia Frasca ; Natsue Yoshimura ;others

“Current-Starved Cross-Coupled CMOS Inverter Rings as Versatile Generators of Chaotic and Neural-Like Dynamics Over Multiple Frequency Decades”

DOI: 10.1109/ACCESS.2019.2912903


Minati L, Yoshimura N, Frasca M, Drożdż S, Koike Y. Warped phase coherence: An empirical synchronization measure combining phase and amplitude information. Chaos 2019; 29:021102 [link]


Minati L, Across Neurons and Silicon: Some Experiments Regarding the Pervasiveness of Nonlinear Phenomena. Acta Phys Pol B 2018; 49:2029 [link]


Minati L, Frasca M, Giustolisi G, Oświȩcimka P, Drożdż S, Ricci L. High-dimensional dynamics in a single- transistor oscillator containing Feynman-Sierpiński resonators: effect of fractal depth and irregularity. Chaos 2018; 28:093112 [link]


Minati L, Faes L, Frasca M, Oświȩcimka P, Drożdż S. Apparent remote synchronization of amplitudes: A demodulation and interference effect. Chaos. 2018; 28:063124 [link]


Minati L, Frasca M, Yoshimura N, Koike Y. Versatile locomotion control of a hexapod robot using a hierarchical network of non-linear oscillator circuits. IEEE Access 2018; 6:8042-8065 [link]


Minati L, Frasca M, Oświȩcimka P, Faes L, Drożdż S. Atypical transistor-based chaotic oscillators: Design, realization, and diversity. Chaos. 2017; 27(7):073113 [link]


Minati L, Winkel J, Bifone A, Oświęcimka P, Jovicich J. Self-similarity and quasi-idempotence in neural networks and related dynamical systems. 2017; 27(4):043115 [link]


Minati L, Yoshimura N, Koike Y. Hybrid Control of a Vision-Guided Robot Arm by EOG, EMG, EEG Biosignals and Head Movement Acquired via a Consumer-Grade Wearable Device. IEEE Access 2016; 4:9528-9541 [link]


Minati L. Remote synchronization of amplitudes across an experimental ring of non-linear oscillators. Chaos 2015; 25(12):123107 [link]


Minati L. Experimental synchronization of chaos in a large ring of mutually coupled single-transistor oscillators: phase, amplitude, and clustering effects. Chaos 2014; 24(4):043108 [link]