Systematic Design Procedure of CMOS Microelectrode-Arrays Based on Analog Signal Processing Noise Figure. - Marcello De Matteis; Andrea Baschirotto; Lorenzo Stevenazzi; Elia A. Vallicelli (BIOSTEC (Selected Papers), 2021)

2.4 Hz-5 kHz Passband $11.8 mu mathrm{V}_{ text{RMS}}$ Noise Power Neural Amplifier for Brain-Chip Interfaces. - Elia A. Vallicelli; Andrea Baschirotto; Lorenzo Stevenazzi; Luciano Rota; Marcello De Matteis (ICECS, 2021)

paMELA - Photoacoustic Melanoma Detector Design for Real-Time Imaging of Melanin with 18 db SNR and 10 μm Precision. - Elia Arturo Vallicelli; Giberto Chirico; Mattia Oliver Cosmi; Lorenzo Stevenazzi; Mattia Tambaro (BIODEVICES, 2022)

Hodgkin-Huxley Verilog-A Electrical Neuron Membrane Model. - Andrea La Gala; Lorenzo Stevenazzi; Elia A. Vallicelli; Mattia Tambaro; Stefano Vassanelli; Andrea Baschirotto; Marcello De Matteis (ICECS 2022, 2022)

Static Noise Margin in 16 nm FinFET 6T and 8T SRAM Cells for Compute-in-Memory. - Lorenzo Stevenazzi; Andrea Baschirotto; Marcello De Matteis (ICECS, 2023)

50-MHz-Bandwidth $850- mu mathrm{W}$-Power 60-dB-SNR Analog Amplifier with Complex Conjugated Poles. - Andrea La Gala; Andrea Baschirotto; Federica Benedini; Lorenzo Stevenazzi; Elia Arturo Vallicelli; Marcello De Matteis (ISCAS, 2023)

56-MHz-Bandwidth 2.4-3.5 μV/Pascal-Sensitivity-Range Polyvinylidene Fluoride Ultrasound Sensor Array for Biomedical Thermoacoustic Imaging. - Mirza Hassan Baig; Elia A. Vallicelli; Giuseppe Chirico; Mattia Tambaro; Lorenzo Stevenazzi; Marcello De Matteis (PRIME, 2023)

A 0.26 dB Noise-Figure 2.4 mW-Power Low-Noise-Amplifier with Auto-Tuned Pseudo-Resistors for Ionoacoustic Range Verification. - Lorenzo Stevenazzi; Andrea Baschirotto; Gennaro Di Meo; Luca Gelmi; Elia A. Vallicelli; Marcello De Matteis (PRIME, 2023)

Ultra-High Frequency Photoacoustic Sensor Design for Early Stage Melanoma Diagnosis. - Elia Arturo Vallicelli; Giuseppe Chirico; Alessandro Michele Ferrara; Mirza Hassan Baig; Maurizio Marrale; Lorenzo Stevenazzi; Mattia Tambaro; Marcello De Matteis (IEEE SENSORS, 2024)

Analog Two-Variable Spiking Neuron in 16 nm FinFET for Neuromorphic Systems. - Lorenzo Stevenazzi; Andrea Baschirotto; Marcello De Matteis (PRIME, 2024)

Analog Integrate-And-Fire Neuron in 7 nm FinFET Technology. - Lorenzo Stevenazzi; Andrea Baschirotto; Marcello De Matteis (ICICDT, 2025)

Influence of Reduced Numerical Precision in Spiking Neural Network Hardware Implementation. - Mattia Tambaro; Alessio Radaelli; Lorenzo Stevenazzi; Andrea La Gala; Mirco Malanchini; Marcello De Matteis (ICICDT, 2025)