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An Approach to Visual Pattern Recognition by Neural Network System
Yasuhiro HATAKEYAMA,Yukinori KAKAZU 대한전자공학회 1992 대한전자공학회 학술대회 Vol.1992 No.10
In this paper, a visual pattern recognition system is proposed, which can recognize both a pattern and its location. This system, referred to as the expanded neocognitron, has the following capabilities; (1) A higher performance in extraction of features, and (2) A new capability for recognizing the locations of patterns. This system adopts the learning and recognizing mechanism of the neocognitron. First, the ability to classify pattern is enhanced by improving the mechanisms of feature extraction and learning algorithm. Second, the function of detecting the location of each pattern is realized by developing an architecture which does not reduce structure, i.e., the unit density is constant all the way from the input stage to the output stage.
Real Physiological Neuronal Responses Revealed by Gramicidin Perforated Patch Recording
Norio Akaike,Yasuhiro Kakazu 대한생리학회-대한약리학회 2001 The Korean Journal of Physiology & Pharmacology Vol.5 No.3
<P> In order to understand the phenomenon in a living cell correctly, it has been required to obtain intact responses from the cell membrane without disrupting the cytoplasmic circumstances. Gramicidin perforated patch configuration allows the electrical access to the whole cell with a minimal dialysis of cytoplasm and preventing the loss of native intracellular constituents, such as Cl<SUP></SUP>. Here, we would like to show the background of this method and the actual application of the gramicidin perforated patch recording mode on the dissociated neurons.