Items where authors include "Johnson, Anju Pulikkakudi"

Article

Liu, Junxiu, McDaid, Liam, Harkin, Jim et al. (7 more authors) (2018) Exploring Self Repair in a Coupled Spiking Astrocyte Neural Network. IEEE Transactions on Neural Networks and Learning Systems. ISSN 2162-237X (In Press)

Johnson, Anju Pulikkakudi orcid.org/0000-0002-7017-1644, Liu, Junxiu, Millard, Alan Gregory orcid.org/0000-0002-4424-5953 et al. (6 more authors) (2018) Homeostatic Fault Tolerance in Spiking Neural Networks : A Dynamic Hardware Perspective. Ieee transactions on circuits and systems i-Regular papers. 7995041. pp. 687-699. ISSN 1549-8328

Johnson, Anju Pulikkakudi orcid.org/0000-0002-7017-1644, Patranabis, Sikhar, Chakraborty, Rajat Subhra et al. (1 more author) (2017) Remote dynamic partial reconfiguration: A threat to Internet-of-Things and embedded security applications. Microprocessors and Microsystems. pp. 131-144. ISSN 0141-9331

Proceedings Paper

Johnson, Anju Pulikkakudi orcid.org/0000-0002-7017-1644, Liu, Junxiu, Millard, Alan Gregory orcid.org/0000-0002-4424-5953 et al. (6 more authors) (2019) Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks. In: 2018 IEEE Symposium Series on Computational Intelligence (SSCI). 2018 SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE, 18-21 Nov 2018. , IND .

Karim, Shvan, Harkin, Jim, McDaid, Liam et al. (7 more authors) (2018) FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware. In: 2018 IEEE International Symposium on Circuits and Systems (ISCAS). UNSPECIFIED. IEEE International Conference on Circuits and Systems. . IEEE .

Johnson, Anju Pulikkakudi orcid.org/0000-0002-7017-1644, Liu, Junxiu, Millard, Alan Gregory orcid.org/0000-0002-4424-5953 et al. (6 more authors) (2018) Fault-tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs. In: 31st International Conference on VLSI Design (VLSID 2018) & 17th International Conference on Embedded Systems (ES 2018). UNSPECIFIED. IEEE .

Liu, Junxiu, McDaid, Liam, Harkin, Jim et al. (7 more authors) (2017) Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks. In: Liu, D., Xie, S., Li, Y., Zhao, D. and El-Alfy, E.-S.M., (eds.) Neural Information Processing:24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceeding, Part II. UNSPECIFIED. Lecture Notes in Computer Science . Springer .

Johnson, Anju Pulikkakudi orcid.org/0000-0002-7017-1644, Liu, Junxiu, Millard, Alan Gregory orcid.org/0000-0002-4424-5953 et al. (6 more authors) (2017) Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs. In: The International Conference on Field-Programmable Technology (FPT-2017). UNSPECIFIED. IEEE . (In Press)