Subha Danushika Fernando

Spike-timing dependent plasticity with release probability supported to eliminate weight boundaries and to balance the excitation of Hebbian neurons

Koichi Yamada, Subha Danushika Fernando, Koichi Yamada, 2012, The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems.

Neuroscience inspired architecture for neural computing

Koichi Yamada, Ashu Marasinghe, Subha Danushika Fernando, 2010, Humans and Computers.

Observed Stent's anti-Hebbian postulate on dynamic stochastic computational synapses

Koichi Yamada, Ashu Marasinghe, Subha Danushika Fernando, 2011, The 2011 International Joint Conference on Neural Networks.

A Stochastic and Competitive Hebbian Learning Mechanism through Spike-Timing Dependent Plasticity to Lift Hard Weight Constraints on Hebbian Synapses

Subha Danushika Fernando, 2013 .

Spike-Timing-Dependent Plasticity and Short-Term Plasticity Jointly Control the Excitation of Hebbian Plasticity without Weight Constraints in Neural Networks

Koichi Yamada, Subha Danushika Fernando, Koichi Yamada, 2012, Comput. Intell. Neurosci..

Temporal database modeling: an object-oriented approach

Ramez Elmasri, Vram Kouramajian, Shian Fernando, 1993, CIKM '93.