Neuromodulated Learning in Deep Neural Networks
This paper proposes a method of deep artificial neuromodulation for stochastic gradient descent, applying biological neuromodulation concepts to modify learning parameters at each layer in a deep neural network during training. The method shows adaptability to different models and new problems, demonstrating dynamic, location-specific learning strategies.
Dec 11, 2018