A Design Flow for Mapping Spiking Neural Networks to Many-Core Neuromorphic Hardware. - Shihao Song; M. Lakshmi Varshika; Anup Das 001; Nagarajan Kandasamy (ICCAD, 2021)

Design of Many-Core Big Little μBrain for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (CoRR, 2021)

A design methodology for fault-tolerant computing using astrocyte neural networks. - Murat Isik; Ankita Paul; M. Lakshmi Varshika; Anup Das 001 (CF, 2022)

Design of Many-Core Big Little µBrains for Energy-Efficient Embedded Neuromorphic Computing. - M. Lakshmi Varshika; Adarsha Balaji; Federico Corradi; Anup Das 001; Jan Stuijt; Francky Catthoor (DATE, 2022)

Implementing Spiking Neural Networks on Neuromorphic Architectures: A Review. - Phu Khanh Huynh; M. Lakshmi Varshika; Ankita Paul; Murat Isik; Adarsha Balaji; Anup Das 001 (CoRR, 2022)

Hardware-Software Co-Design for On-Chip Learning in AI Systems. - M. Lakshmi Varshika; Abhishek Kumar Mishra; Nagarajan Kandasamy; Anup Das 001 (ASP-DAC, 2023)

Design of a Tunable Astrocyte Neuromorphic Circuitry with Adaptable Fault Tolerance. - M. Lakshmi Varshika; Sarah Johari; Jayanth Dubey; Anup Das 001 (MWSCAS, 2023)

QUANTISENC++: A Fully-Configurable Many-Core Neuromorphic Hardware. - Shadi Matinizadeh; Arghavan Mohammadhassani; M. Lakshmi Varshika; Sarah Johari; Nagarajan Kandasamy; Anup Das 001 (IEEECONF, 2024)

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)

CMOS-Memristor Hybrid Design of A Neuromorphic Crossbar Array with Integrated Inference and Training. - Sarah Johari; Arghavan Mohammadhassani; M. Lakshmi Varshika; 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)

Online Learning for Dynamic Structural Characterization in Electron Energy Loss Spectroscopy. - M. Lakshmi Varshika; Jonathan Hollenbach; Nicolas Bohm Agostini; Ankur Limaye; Antonino Tumeo; Anup Das 001 (DATE, 2025)

A Digital Neuromorphic Architecture for Unsupervised Shortest Path Computation on Real-World Graphs. - Arghavan Mohammadhassani; Shadi Matinizadeh; M. Lakshmi Varshika; Anup Das 001 (ISCAS, 2025)