Can Livanelioglu

According to our database, Can Livanelioglu authored at least 7 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

19.10 A 4.6GHz 63.3fs_rms PLL-XO Co-Design Using a Self-Aligned Pulse-Injection Driver Achieving -255.2dB FoM_J Including the XO Power and Noise.

Can Livanelioglu, Long He, Jiang Gong, Sina Arjmandpour, Gabriele Atzeni, Taekwang Jang

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

A 3.47 NEF 175.2dB FOMs Direct Digitization Front-End Featuring Delta Amplification for Enhanced Dynamic Range and Energy Efficiency in Bio-Signal Acquisition.

Kyeongwon Jeong, Can Livanelioglu, Jiawei Liao, Inhee Lee, Taekwang Jang

Proceedings of the IEEE International Solid-State Circuits Conference, 2025

2024

An Impedance-Boosted Transformer-First Discrete-Time Analog Front-End Achieving 0.34 NEF and 389-MΩ Input Impedance.

Gabriele Atzeni, Can Livanelioglu, Sina Arjmandpour, Taekwang Jang

IEEE J. Solid State Circuits, April, 2024

2023

A 1, 024-Channel, 64-Interconnect, Capacitive Neural Interface Using a Cross-Coupled Microelectrode Array and 2-Dimensional Code-Division Multiplexing.

Woojun Choi, Yiyang Chen, Donghwan Kim, Sean Weaver, Tilman Schlotter, Can Livanelioglu, Jiawei Liao, Rosario M. Incandela, Parham Davami, Gabriele Atzeni, Sina Arjmandpour, SeongHwan Cho, Taekwang Jang

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

An Energy-Efficient Impedance-Boosted Discrete-Time Amplifier Achieving 0.34 Noise Efficiency Factor and 389 MΩ Input Impedance.

Gabriele Atzeni, Can Livanelioglu, Lavinia Recchioni, Sina Arjmandpour, Taekwang Jang

Proceedings of the 2023 IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits), 2023

2022

A 0.0014 mm², 1.18 TΩ Segmented Duty-Cycled Resistor Replacing Pseudo-Resistor for Neural Recording Interface Circuits.

Can Livanelioglu, Woojun Choi, Donghwan Kim, Jiawei Liao, Rosario M. Incandela, Giorgio Cristiano, Taekwang Jang

Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

2021

Ultra-Low-Power FDSOI Neural Circuits for Extreme-Edge Neuromorphic Intelligence.

Arianna Rubino, Can Livanelioglu, Ning Qiao, Melika Payvand, Giacomo Indiveri

IEEE Trans. Circuits Syst. I Regul. Pap., 2021