Emergence of competitive control in a memristor-based neuromorphic circuit. - Saeed Afshar; Omid Kavehei; André van Schaik; Jonathan Tapson; Stan Skafidas; Tara Julia Hamilton (IJCNN, 2012)

The Ripple Pond: Enabling Spiking Networks to See. - Saeed Afshar; Gregory Cohen; Runchun Wang; André van Schaik; Jonathan Tapson; Torsten Lehmann; Tara Julia Hamilton (CoRR, 2013)

Synthesis of neural networks for spatio-temporal spike pattern recognition and processing - Jonathan Tapson; Gregory Cohen; Saeed Afshar; Klaus M. Stiefel; Y. Buskila; Runchun Wang; Tara Julia Hamilton; André van Schaik (CoRR, 2013)

Rotationally invariant vision recognition with neuromorphic transformation and learning networks. - Richard James Sofatzis; Saeed Afshar; Tara Julia Hamilton (ISCAS, 2014)

The Synaptic Kernel Adaptation Network. - Richard James Sofatzis; Saeed Afshar; Tara Julia Hamilton (ISCAS, 2014)

Turn Down that Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. - Saeed Afshar; Libin George; Jonathan Tapson; André van Schaik; Philip de Chazal; Tara Julia Hamilton (CoRR, 2014)

Racing to Learn: Statistical Inference and Learning in a Single Spiking Neuron. - Saeed Afshar; Libin George; Jonathan Tapson; André van Schaik; Tara Julia Hamilton (CoRR, 2014)

Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits. - Tara Julia Hamilton; Saeed Afshar; André van Schaik; Jonathan Tapson (Proc. IEEE, 2014)

An Online Learning Algorithm for Neuromorphic Hardware Implementation. - Chetan Singh Thakur; Runchun Wang; Saeed Afshar; Tara Julia Hamilton; Jonathan Tapson; André van Schaik (CoRR, 2015)

Turn Down That Noise: Synaptic Encoding of Afferent SNR in a Single Spiking Neuron. - Saeed Afshar; Libin George; Chetan Singh Thakur; Jonathan Tapson; André van Schaik; Philip de Chazal; Tara Julia Hamilton (IEEE Trans. Biomed. Circuits Syst., 2015)

EMNIST: Extending MNIST to handwritten letters. - Gregory Cohen; Saeed Afshar; Jonathan Tapson; André van Schaik (IJCNN, 2017)

EMNIST: an extension of MNIST to handwritten letters. - Gregory Cohen; Saeed Afshar; Jonathan Tapson; André van Schaik (CoRR, 2017)

A Machine Hearing System for Binaural Sound Localization based on Instantaneous Correlation. - Ying Xu; Saeed Afshar; Ram Kuber Singh; Tara Julia Hamilton; Runchun Wang; André van Schaik (ISCAS, 2018)

Neuromorphic Object Tracking Architecture, Based on Compound Eyes, and Implementation on FPGA. - Satrajit Chakraborty; Priyanka P; Sarthak Gupta; Saeed Afshar; Tara Julia Hamilton; Chetan Singh Thakur (MWSCAS, 2018)

Spatial and Temporal Downsampling in Event-Based Visual Classification. - Gregory Cohen; Saeed Afshar; Garrick Orchard; Jonathan Tapson; Ryad Benosman; André van Schaik (IEEE Trans. Neural Networks Learn. Syst., 2018)

A Binaural Sound Localization System using Deep Convolutional Neural Networks. - Ying Xu; Saeed Afshar; Ram Kuber Singh; Runchun Wang; André van Schaik; Tara Julia Hamilton (ISCAS, 2019)

Event-based Feature Extraction Using Adaptive Selection Thresholds. - Saeed Afshar; Ying Xu; Jonathan Tapson; André van Schaik; Gregory Cohen (CoRR, 2019)

Event-based Object Detection and Tracking for Space Situational Awareness. - Saeed Afshar; Andrew P. Nicholson; André van Schaik; Gregory Cohen (CoRR, 2019)

Lessons Learned the Hard Way. - Tobi Delbruck; Ibrahim Abe M. Elfadel; Shahzad Muzaffar; Germain Haessig; Bo Wang 012; Amine Bermak; Rui Graca; Luis A. Camuñas-Mesa; Bathiya Senevirathna; Pamela Abshire; Bernabé Linares-Barranco; Saeed Afshar; et al. (ISCAS, 2020)

Event-Based Feature Extraction Using Adaptive Selection Thresholds. - Saeed Afshar; Nicholas Owen Ralph; Ying Xu; Jonathan Tapson; André van Schaik; Gregory Cohen (Sensors, 2020)

Investigation of Auditory Nerve Model and Conventional Approaches in Noise-Robust Speaker Identification. - Md Atiqul Islam; Ying Xu; Saeed Afshar; Travis Monk; André van Schaik (ICFSP, 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)

Density Invariant Contrast Maximization for Neuromorphic Earth Observations. - Sami Arja; Alexandre Marcireau; Richard L. Balthazor; Matthew G. McHarg; Saeed Afshar; Gregory Cohen (CVPR Workshops, 2023)

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)

Unsupervised Motion Segmentation for Neuromorphic Aerial Surveillance. - Sami Arja; Alexandre Marcireau; Saeed Afshar; Bharath Ramesh 001; Gregory Cohen (CoRR, 2024)

Noise Filtering Benchmark for Neuromorphic Satellites Observations. - Sami Arja; Alexandre Marcireau; Nicholas Owen Ralph; Saeed Afshar; Gregory Cohen (CoRR, 2024)

Electrical Signaling Beyond Neurons. - Travis Monk; Nik Dennler; Nicholas Owen Ralph; Shavika Rastogi; Saeed Afshar; Pablo Urbizagastegui; Russell Jarvis; André van Schaik; Andrew Adamatzky (Neural Comput., 2024)

An End-to-End Approach for Child Reading Assessment in the Xhosa Language. - Sérgio F. Chevtchenko; Nikhil Navas; Rafaella Vale; Franco Ubaudi; Sipumelele Lucwaba; Cally Ardington; Soheil Afshar; Mark Antoniou; Saeed Afshar (AIED (1), 2025)

Seeing like a Cephalopod: Colour Vision with a Monochrome Event Camera. - Sami Arja; Nimrod Kruger; Alexandre Marcireau; Nicholas Owen Ralph; Saeed Afshar; Gregory Cohen (CVPR Workshops, 2025)

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)