1 citations · 1 across the 2 of their papers we have counts for
5 papers
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
Guhyun Kim, Doo Seok Jeong
Backward propagation of errors (backpropagation) is a method to minimize objective functions (e.g., loss functions) of deep neural networks by identifying optimal sets of weights a…
Simplified calcium signaling cascade for synaptic plasticity
Vladimir Kornijcuk, Dohun Kim, Guhyun Kim +1
We propose a model for synaptic plasticity based on a calcium signaling cascade. The model simplifies the full signaling pathways from a calcium influx to the phosphorylation (pote…
Tutorial: Neuromorphic spiking neural networks for temporal learning
Doo Seok Jeong
Spiking neural networks (SNN) as time-dependent hypotheses consisting of spiking nodes (neurons) and directed edges (synapses) are believed to offer unique solutions to reward pred…
Markov chain Hebbian learning algorithm with ternary synaptic units
Guhyun Kim, Vladimir Kornijcuk, Dohun Kim +6
In spite of remarkable progress in machine learning techniques, the state-of-the-art machine learning algorithms often keep machines from real-time learning (online learning) due i…
Non-modified Thermally-derived Onion-like Carbon As Electrocatalyst for [VO]2+/[VO2]+ Redox Flow Battery
Young-Jin Ko, Jung-Min Cho, Doo Seok Jeong +3
We report the nanodiamond-derived onion-like carbon successfully applied as an electrocatalyst for [VO]2+/[VO2]+ redox flow battery, as drop-coated (in the as-synthesized state) on…