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The authors report the case of a patient with an ischemic lesion in the left midbrain. The patient presented with paresis of left inferior rectus, pupil, right superior rectus, convergence and transiently, of the left medial rectus. A lesion in the left dorsal midbrain close to the oculomotor nuclear complex, selectively involving the fascicles innervating(More)
Covariance matrices are important in many areas of neural modelling. In Hoppeld networks they are used to form the weight matrix which controls the autoassociative properties of the network. In Gaussian processes, which have been shown to be the innnite neuron limit of many regularised feedforward neural networks, covariance matrices control the form of(More)
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