Shvan Karim

发表

Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2017, 2017 IEEE Computer Society Annual Symposium on VLSI (ISVLSI).

Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2018, 2018 IEEE Symposium Series on Computational Intelligence (SSCI).

Exploring Self-Repair in a Coupled Spiking Astrocyte Neural Network

Jim Harkin, Jon Timmis, Junxiu Liu, 2019, IEEE Transactions on Neural Networks and Learning Systems.

Homeostatic Fault Tolerance in Spiking Neural Networks: A Dynamic Hardware Perspective

Jim Harkin, Jon Timmis, Junxiu Liu, 2018, IEEE Transactions on Circuits and Systems I: Regular Papers.

FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Autonomous Learning Paradigm for Spiking Neural Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2019, ICANN.

Homeostatic fault tolerance in spiking neural networks utilizing dynamic partial reconfiguration of FPGAs

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2017, 2017 International Conference on Field Programmable Technology (ICFPT).

Self-repairing Learning Rule for Spiking Astrocyte-Neuron Networks

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2017, ICONIP.

An FPGA-based hardware-efficient fault-tolerant astrocyte-neuron network

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2016, 2016 IEEE Symposium Series on Computational Intelligence (SSCI).

AstroByte: A multi-FPGA Architecture for Accelerated Simulations of Fault-tolerant Spiking Astrocyte-Neuron Networks

Liam McDaid, Jim Harkin, Bryan Gardiner, 2019 .

Fault-Tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs

Jonathan Timmis, Andrew M. Tyrrell, Liam McDaid, 2018, 2018 31st International Conference on VLSI Design and 2018 17th International Conference on Embedded Systems (VLSID).

Bio-inspired Anomaly Detection for Low-cost Gas Sensors

Liam McDaid, Jim Harkin, Junxiu Liu, 2018, 2018 IEEE 18th International Conference on Nanotechnology (IEEE-NANO).

AstroByte: Multi-FPGA Architecture for Accelerated Simulations of Spiking Astrocyte Neural Networks

Liam McDaid, Jim Harkin, Junxiu Liu, 2020, 2020 Design, Automation & Test in Europe Conference & Exhibition (DATE).

Feasibility of Sensor Technology for Balance Assessment in Home Rehabilitation Settings

Joan Condell, John Barton, Salvatore Tedesco, 2021, Sensors.