Abstract This paper presents a simple yet biologicallygrounded model for the neural control of Caenorhabditis elegans forward locomotion. We identify a minimal circuit within the C...
Many believe that the most important result to come out of the last ten years of neural network research is the significant change in perspective in the neuroscience community tow...
We describe a novel neural network architecture for the problem of semantic role labeling. Many current solutions are complicated, consist of several stages and handbuilt features...
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Distributed coding at the hidden layer of a multi-layer perceptron (MLP) endows the network with memory compression and noise tolerance capabilities. However, an MLP typically req...
Gail A. Carpenter, Boriana L. Milenova, Benjamin W...