Shogo Miyake

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A rotation-invariant neocognitron, which has been recently proposed by authors, is trained by using handwritten numerical patterns provided by ETL-1 database. A new learning algorithm, " auto-generating algorithm " , is proposed and the learning time is reduced. The model can recognize realistic handwritten patterns. It is also shown that the model is(More)
We examine the number of cells and execution time taken to correctly recognize rotated patterns in two models: a rotation-invariant neocognitron (R-Neocognitron) and a neocognitron-type model (TD-R-Neocognitron) which recognizes rotated patterns by use of an associative recalled pattern. In numerical simulations handwritten patterns in CEDER database are(More)
Self-organization of orientation maps due to external stimuli in the primary visual area of the cerebral cortex is studied in a two-layered neural network which consists of formal neuron models with a sigmoidal output function. A cluster learning rule is proposed as an extended Hebbian learning rule, where a modification of synaptic connections is(More)
OBJECTIVE To apply a new television system, which displays highly sensitive, high-quality 3-dimensional (3-D) images, in performing experimental ophthalmic surgeries. METHODS By combining a high-gain avalanche rushing-amorphous photoconductor (HARP) camera, recently developed in Japan, which has 600 times greater sensitivity than conventional television(More)
BACKGROUND Diabetes mellitus (DM) accelerates plaque progression despite the use of statin therapy. The purpose of the present study was to evaluate the determinants of atheroma progression in statin-treated patients with DM. METHODS Coronary atherosclerosis in nonculprit lesions in a vessel undergoing percutaneous coronary intervention (PCI) was(More)
A new model which can recognize rotated, distorted, scaled, shifted and noised patterns is proposed. The model is constructed based on psychological experiments in a mental rotation. The model has two types of processes: (i) one is a bottom-up process in which pattern recognition is realized by means of a rotation-invariant neocognitron and a standard(More)