MechSense: A Design and Fabrication Pipeline for Integrating Rotary Encoders into 3D Printed Mechanisms. - Marwa Alalawi; Noah Pacik-Nelson; Junyi Zhu 001; Ben Greenspan; Andrew Doan; Brandon M. Wong; Benjamin Owen-Block; Shanti Kaylene Mickens; Wilhelm Jacobus Schoeman; Michael Wessely; Andreea Danielescu 001; Stefanie Mueller 001 (CHI, 2023)

Speech2Spikes: Efficient Audio Encoding Pipeline for Real-time Neuromorphic Systems. - Kenneth Michael Stewart; Timothy M. Shea; Noah Pacik-Nelson; Eric M. Gallo; Andreea Danielescu 001 (NICE, 2023)

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. - Jason Yik; Soikat Hasan Ahmed; Zergham Ahmed; Brian Anderson; Andreas G. Andreou; Chiara Bartolozzi; Arindam Basu; Douwe den Blanken; Petrut Bogdan; Sander M. Bohté; Younes Bouhadjar; Sonia M. Buckley; et al. (CoRR, 2023)

Neuromorphic Computing for the Masses. - Shadi Matinizadeh; Arghavan Mohammadhassani; Noah Pacik-Nelson; Ioannis Polykretis; Krupa Tishbi; Suman Kumar; M. Lakshmi Varshika; Abhishek Kumar Mishra; Nagarajan Kandasamy; James A. Shackleford; Eric M. Gallo; Anup Das 001 (ICONS, 2024)

A Fully-Configurable Digital Spiking Neuromorphic Hardware Design with Variable Quantization and Mixed Precision. - Shadi Matinizadeh; Arghavan Mohammadhassani; Noah Pacik-Nelson; Ioannis Polykretis; Abhishek Kumar Mishra; James A. Shackleford; Nagarajan Kandasamy; Eric M. Gallo; Anup Das 001 (MWSCAS, 2024)

A Fully-Configurable Open-Source Software-Defined Digital Quantized Spiking Neural Core Architecture. - Shadi Matinizadeh; Noah Pacik-Nelson; Ioannis Polykretis; Krupa Tishbi; Suman Kumar; M. Lakshmi Varshika; Arghavan Mohammadhassani; Abhishek Kumar Mishra; Nagarajan Kandasamy; James A. Shackleford; Eric M. Gallo; Anupam Das 001 (CoRR, 2024)