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Found 3 papers, 1 papers with code
CBP: Backpropagation with constraint on weight precision using a pseudo-Lagrange multiplier method
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 and biases.
Simplified calcium signaling cascade for synaptic plasticity
We propose a model for synaptic plasticity based on a calcium signaling cascade.
Markov chain Hebbian learning algorithm with ternary synaptic units
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 in part to computational complexity in parameter optimization.
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