Live Demonstration: Real-Time Implementation of Proto-Object Based Visual Saliency Model. - Sathyaprakash Narayanan; Yeshwanth Bethi; Jamal Lottier; Ernst Niebur; Ralph Etienne-Cummings; Chetan Singh Thakur (ISCAS, 2019)

N-HAR: A Neuromorphic Event-Based Human Activity Recognition System using Memory Surfaces. - Bibrat Ranjan Pradhan; Yeshwanth Bethi; Sathyaprakash Narayanan; Anirban Chakraborty 001; Chetan Singh Thakur (ISCAS, 2019)

A Compressive Sensing Video dataset using Pixel-wise coded exposure. - Sathyaprakash Narayanan; Yeshwanth Bethi; Chetan Singh Thakur (CoRR, 2019)

Real-Time Object Detection and Localization in Compressive Sensed Video on Embedded Hardware. - Yeshwanth Ravi Theja Bethi; Sathyaprakash Narayanan; Venkat Rangan; Chetan Singh Thakur (CoRR, 2019)

Real-Time Object Detection and Localization in Compressive Sensed Video. - Yeshwanth Ravi Theja Bethi; Sathyaprakash Narayanan; Venkat Rangan; Anirban Chakraborty 001; Chetan Singh Thakur (ICIP, 2021)

An optimised deep spiking neural network architecture without gradients. - Yeshwanth Bethi; Ying Xu; Gregory Cohen; André van Schaik; Saeed Afshar (CoRR, 2021)

An Optimized Deep Spiking Neural Network Architecture Without Gradients. - Yeshwanth Bethi; Ying Xu; Gregory Cohen; André van Schaik; Saeed Afshar (IEEE Access, 2022)

Event-driven Spectrotemporal Feature Extraction and Classification using a Silicon Cochlea Model. - Ying Xu; Samalika Lakmali Perera; Yeshwanth Bethi; Saeed Afshar; André van Schaik (CoRR, 2022)

An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Saeed Afshar (INNS DLIA@IJCNN, 2023)

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Andrew Wabnitz; Saeed Afshar (CoRR, 2023)

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations. - Sérgio F. Chevtchenko; Yeshwanth Bethi; Teresa Bernarda Ludermir; Saeed Afshar (IJCNN, 2024)

Real-Time Anomaly Detection Using Hardware-based Unsupervised Spiking Neural Network (TinySNN). - Mohamad Ali Mehrabi; Nik Dennler; Yeshwanth Bethi; André van Schaik; Saeed Afshar (ISIE, 2024)

Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA. - Mohamad Ali Mehrabi; Yeshwanth Bethi; André van Schaik; Andrew Wabnitz; Saeed Afshar (IEEE Access, 2024)

Spiking Auto-Encoder for Static and Spatio-Temporal Neuromorphic Pattern Reconstruction. - Ben Walters; Yeshwanth Bethi; Hamid Rahimian Kalatehbali; Saeed Afshar; Amirali Amirsoleimani; Mostafa Rahimi Azghadi (ISCAS, 2025)

Drone-Based Sound Source Localization: A Systematic Literature Review. - Sérgio F. Chevtchenko; Belman Jahir Rodríguez; Rafaella Vale; Abishek Soti; Yeshwanth Bethi; Naqib Ibnul; Alexandre Marcireau; Mostafa Rahimi Azghadi; Andrew Wabnitz; Saeed Afshar (IEEE Access, 2025)

NeuroMorse: A Temporally Structured Dataset For Neuromorphic Computing. - Ben Walters; Yeshwanth Bethi; Taylor Kergan; Binh Nguyen; Amirali Amirsoleimani; Jason K. Eshraghian; Saeed Afshar; Mostafa Rahimi Azghadi (CoRR, 2025)