William C. Lennon

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Multilayer perceptron networks whose outputs consist of affine combinations of hidden units using the tanh activation function are universal function approximators and are used for regression, typically by reducing the MSE with backpropagation. We present a neural network weight learning algorithm that directly positions the hidden units within input space(More)
Long-term depression (LTD) at parallel fiber-Purkinje cell (PF-PC) synapses is thought to underlie memory formation in cerebellar motor learning. Recent experimental results, however, suggest that multiple plasticity mechanisms in the cerebellar cortex and cerebellar/vestibular nuclei participate in memory formation. To examine this possibility, we(More)
While the anatomy of the cerebellar microcircuit is well-studied, how it implements cerebellar function is not understood. A number of models have been proposed to describe this mechanism but few emphasize the role of the vast network Purkinje cells (PKJs) form with the molecular layer interneurons (MLIs)-the stellate and basket cells. We propose a model of(More)
Theoretical and computational models of the cerebellum typically focus on the role of parallel fiber (PF)-Purkinje cell (PKJ) synapses for learned behavior, but few emphasize the role of the molecular layer interneurons (MLIs)-the stellate and basket cells. A number of recent experimental results suggest the role of MLIs is more important than previous(More)
(l mechanical embarrassmetnt. The amount of damage can] be roughly estimated by the extent of the abnormality of the cardiogram. In conclusion, it may be said that electro-cardiography is useful in every stage of rheumatic disease. The most hopeful and least carefully explored field is that of acute rheumatism. \Vithin the past few years minor but important(More)
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