Neural network models of the tactile system develop first-order units with spatially complex receptive fields
Charlie Weige Zhao, Mark Daley, J. Andrew Pruszynski
This study shows that neural network models of the tactile system develop first-order units with spatially complex receptive fields across various architectures and training sets, improving performance in noisy conditions.
PLoS ONE · Jun 14, 2018Peer-reviewedNeuroscience