Saeed Afshar

According to our database, Saeed Afshar authored at least 28 papers between 2012 and 2023.

Collaborative distances:

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

2023

A Neuromorphic Architecture for Reinforcement Learning from Real-Valued Observations.

Sérgio F. Chevtchenko, Yeshwanth Bethi, Teresa Bernarda Ludermir, Saeed Afshar

CoRR, 2023

Efficient Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA.

Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Andrew Wabnitz, Saeed Afshar

CoRR, 2023

An Optimized Multi-layer Spiking Neural Network implementation in FPGA Without Multipliers.

Ali Mehrabi, Yeshwanth Bethi, André van Schaik, Saeed Afshar

Proceedings of the International Neural Network Society Workshop on Deep Learning Innovations and Applications, 2023

Density Invariant Contrast Maximization for Neuromorphic Earth Observations.

Sami Arja, Alexandre Marcireau, Richard L. Balthazor, Matthew G. McHarg, Saeed Afshar, Gregory Cohen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

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 Deep Spiking Neural Network Architecture Without Gradients.

Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar

IEEE Access, 2022

2021

An optimised deep spiking neural network architecture without gradients.

Yeshwanth Bethi, Ying Xu, Gregory Cohen, André van Schaik, Saeed Afshar

CoRR, 2021

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

Proceedings of the 6th International Conference on Frontiers of Signal Processing, 2021

2020

Event-Based Feature Extraction Using Adaptive Selection Thresholds.

Saeed Afshar, Nicholas Ralph, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen

Sensors, 2020

Lessons Learned the Hard Way.

Tobi Delbrück, Ibrahim Abe M. Elfadel, Shahzad Muzaffar, Germain Haessig, Bo Wang, Amine Bermak, Rui Graca, Luis A. Camuñas-Mesa, Bathiya Senevirathna, Pamela Abshire, Bernabé Linares-Barranco, Saeed Afshar, Shih-Chii Liu, Runchun Mark Wang, Piotr Dudek, Stephen J. Carey, José M. de la Rosa, Marc Dandin, Sheung Lu, Vincent Frick, Teresa Serrano-Gotarredona, Paula López, Melika Payvand, Advait Madhavan, Eric R. Fossum, Juan Camilo Vasquez Tieck, Ian Williams, Yan Liu, Timothy G. Constandinou, Alexander Serb, Ricardo Carmona-Galán, Robert Nawrocki, Walter D. Leon-Salas

Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

2019

Event-based Object Detection and Tracking for Space Situational Awareness.

Saeed Afshar, Andrew P. Nicholson, André van Schaik, Gregory Cohen

CoRR, 2019

Event-based Feature Extraction Using Adaptive Selection Thresholds.

Saeed Afshar, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen

CoRR, 2019

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

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

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

Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

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

Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

2017

EMNIST: an extension of MNIST to handwritten letters.

Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik

CoRR, 2017

EMNIST: Extending MNIST to handwritten letters.

Gregory Cohen, Saeed Afshar, Jonathan Tapson, André van Schaik

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

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

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

2014

Stochastic Electronics: A Neuro-Inspired Design Paradigm for Integrated Circuits.

Tara Julia Hamilton, Saeed Afshar, André van Schaik, Jonathan Tapson

Proc. IEEE, 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

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

The Synaptic Kernel Adaptation Network.

Richard James Sofatzis, Saeed Afshar, Tara Julia Hamilton

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

Rotationally invariant vision recognition with neuromorphic transformation and learning networks.

Richard James Sofatzis, Saeed Afshar, Tara Julia Hamilton

Proceedings of the IEEE International Symposium on Circuits and Systemss, 2014

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

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

2012

Emergence of competitive control in a memristor-based neuromorphic circuit.

Saeed Afshar, Omid Kavehei, André van Schaik, Jonathan Tapson, Stan Skafidas, Tara Julia Hamilton

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012