dr. D.G. Muratore

Assistant Professor
Bioelectronics (BE), Department of Microelectronics

Expertise: Analog and mixed-signal CMOS circuit design for biomedical applications and sensor interfaces; circuit-algorithm co-design; neurophysiology.

Themes: Analog and Mixed-Mode Integrated Circuits and Systems, Biosignal acquisition, conditioning and processing, Neuroprosthetics, - stimulation and -modulation


Dante G. Muratore was born in Buenos Aires, Argentina. He received a B.Sc. and an M.Sc. degree in Electrical Engineering from Politecnico of Turin, Italy in 2012 and 2013, respectively. He received a Ph.D. degree in Microelectronics from the University of Pavia, Italy in 2017 in the Integrated Microsystems Lab. From 2015 to 2016, he was a Visiting Scholar at Microsystems Technology labs at the Massachusetts Institute of Technology, USA. From 2016 to 2020, he was a Postdoctoral Fellow at Stanford University, USA. He is the recipient of the Wu Tsai Neurosciences Institute Interdisciplinary Scholar Award. Since 2020, he is an assistant professor in the Bioelectronics Section at Delft University of Technology, Netherlands, where he leads the Smart Brain Interfaces group.

His group investigates hardware and system solutions for high-bandwidth brain-machine interfaces that can interact with the nervous system at natural resolution. They contribute solutions for massively parallel bidirectional interfaces, on-chip neural signal processing, and wireless power and data transfer. 

EE4555 Active implantable biomedical microsystems

Cardiac pacemakers, cochlear implants, neuroprostheses, brain–computer interfaces, deep organ pressure sensors, precise drug delivery units, bioelectronic medicine and electroceuticals

ET4127 Themes in Biomedical Electronics

BioMEMS, biosensors, bioelectronics, ultrasound, microfluidics, wavefield imaging in monitoring, diagnosis and treatment

ET4252 Analog integrated circuit design

Advanced course in analog circuit synthesis for microelectronic designers

ET4369 Nyquist-rate data converters

Architectures for Nyquist-rate ADCs

TM12003 Electrostimulation of Neurophysiological systems

Single Cell and Cell-Type Resolution Bi-Directional Neural Interface for an Artificial Retina

This project focuses on the design of a massively parallel bi-directional neural interface capable of interacting with neurons at their native resolution.

  1. Data Compression Versus Signal Fidelity Tradeoff in Wired-OR Analog-to-Digital Compressive Arrays for Neural Recording
    Pumiao Yan; Arash Akhoundi; Nishal P Shah; Pulkit Tandon; Dante G Muratore; EJ Chichilnisky; Boris Murmann;
    IEEE transactions on biomedical circuits and systems,
    July 2023. DOI: 10.1109/TBCAS.2023.3292058

  2. A 1024-Channel 268 nW/pixel 36x36 μm2/ch Data-Compressive Neural Recording IC for High-Bandwidth Brain-Computer Interfaces
    MoonHyung Jang; Wei-Han Yu; Changuk Lee; Maddy Hays; Pingyu Wang; Nick Vitale; Pulkit Tandon; Pumiao Yan; Pui-In Mak; Youngcheol Chae; EJ Chichilnisky; Boris Murmann; Dante G Muratore;
    In IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits),
    2023. DOI: 10.23919/VLSITechnologyandCir57934.2023.10185288

  3. A Low-Power Oscillatory Feature Extraction Unit for Implantable Neural Interfaces
    Hoda Yassin; Arash Akhoundi; El-Sayed Hasaneen; Dante G Muratore;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    2023. DOI: 10.1109/ISCAS46773.2023.10181914

  4. FARA: A Fast Artifact Recovery Algorithm with Optimum Stimulation Waveform for Single-Cell Resolution Massively Parallel Neural Interfaces
    Rohan Brash; Wouter Serdijn; Dante G. Muratore;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    May 2022. DOI: 10.1109/ISCAS48785.2022.9937814

  5. Data Compression versus Signal Fidelity Trade-off in Wired-OR ADC Arrays for Neural Recording
    Pumiao Yan; Nishal P. Shah; Dante G. Muratore; Pulkit Tandon; E. J. Chichilnisky; Boris Murmann;
    In IEEE Biomedical Circuits and Systems Conference (BioCAS),
    2022. DOI: 10.1109/BioCAS54905.2022.9948677

  6. An 800 nW Switched-Capacitor Feature Extraction Filterbank for Sound Classification
    D.A. Villamizar; D.G. Muratore; J.B. Wieser; B. Murmann;
    IEEE Transactions on Circuits and Systems I Regular Papers, pp. 1–11, 2021,
    Volume 68, pp. 578 - 1588, January 2021. DOI: 10.1109/TCSI.2020.3047035

    B. Murmann; D. G. Muratore; E. J. Chichilnisky; P. Tandon;
    Patent, US20210330449A1, 2021.

  8. Power-saving design opportunities for wireless intracortical brain-computer interfaces
    N. Even-Chen; D.G. Muratore; S.D. Stavisky; L.R. Hochberg; J.M. Henderson; B. Murmann; K.V. Shenoy;
    Nature biomedical engineering,
    Issue 4, pp. 984–996, Augustus 2020.

  9. Artificial Retina: A Future Cellular-Resolution Brain-Machine Interface
    D. Muratore; E. J. Chichilnisky;
    Springer International Publishing, , pp. 443–465, 2020.

  10. Implications of Finite Clock Transition Time for LPTV Circuit Analysis
    S. Weinreich; D. Muratore; Y. Chae; T. McKay; B. Murmann;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    2020. DOI: 10.1109/ISCAS45731.2020.9180691

  11. Sensory Particles with Optical Telemetry
    K. Ganesan; T.A. Flores; B.Q. Le; D.G. Muratore; N. Patel; S. Mitra; B. Murmann; D. Palanker;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    2020. DOI: 10.1109/ISCAS45731.2020.9180905

  12. A Data-Compressive Wired-OR Readout for Massively Parallel Neural Recording
    Dante Muratore; P. Tandon; M. Wootters; E.J. Chichilnisky; S. Mitra; B. Murmann;
    IEEE Transactions on Biomedical Circuits and Systems,
    pp. 1128 - 1140, August 2019. DOI: 10.1109/TBCAS.2019.2935468

  13. Low-Noise Integrated Potentiostat for Affinity-Free Protein Detection With 12 nV/rt-Hz at 30 Hz and 1.8 pArms Resolution
    S. Fischer; D. Muratore; S. Weinreich; A. Peña-Perez; R.M. Walker; C. Gupta; R.T. Howe; B. Murmann;
    IEEE Solid-State Circuits Letters,
    Volume 2, Issue 6, pp. 41-44, June 2019. DOI: 10.1109/LSSC.2019.2926644

  14. Sound Classification using Summary Statistics and N-Path Filtering
    D. Villamizar; D. Battaglino; D. G. Muratore; R. Hoshyar; B. Murmann;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    May 2019. DOI: 10.1109/ISCAS.2019.8702364

  15. High-Resolution Time-Interleaved Eight-Channel ADC for Li-Ion Battery Stacks
    D.G. Muratore; E. Bonizzoni; S. Verri; F. Maloberti;
    IEEE Trans. Circuits Syst. Express Briefs,
    pp. 620-624, June 2017. DOI: 10.1109/TCSII.2016.2597358

  16. A pipeline ADC for very high conversion rates
    D. G. Muratore; E. Bonizzoni; F. Maloberti;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    2016. DOI: 10.1109/ISCAS.2016.7527529

  17. An 8-bit 0.7-GS/s single channel flash-SAR ADC in 65-nm CMOS technology
    D. G. Muratore; A. Akdikmen; E. Bonizzoni; F. Maloberti; U.-F. Chio; S.-W. Sin; R. P. Martins;
    In IEEE European Solid-State Circuits Conference (ESSCIRC),
    2016. DOI: 10.1109/ESSCIRC.2016.7598331

  18. A capacitive sensor interface for high-resolution acquisitions in hostile environments
    D. G. Muratore; E. Bonizzoni; F. Maloberti; C. Fiocchi;
    In IEEE Latin American Symposium on Circuits Systems (LASCAS),
    2016. DOI: 10.1109/LASCAS.2016.7451036

  19. A split transconductor high-speed SAR ADC
    D. G. Muratore; E. Bonizzoni; F. Maloberti;
    In IEEE International Symposium on Circuits and Systems (ISCAS),
    2015. DOI: 10.1109/ISCAS.2015.7169176

  20. Very high-speed CMOS comparators for multi-GS/s A/D converters
    D. G. Muratore; A. Akdikmen; F. Maloberti;
    In IEEE Conference on Ph.D. Research in Microelectronics and Electronics (PRIME),

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Last updated: 11 Jul 2023