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Phasetransition-like Changes in Human Visual Information Processing
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نویسنده
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Nagy Péter ,Pintér Istvan ,Bagány Mihály
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منبع
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journal of universal computer science - 2006 - دوره : 12 - شماره : 9 - صفحه:1345 -1357
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چکیده
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For exact examination of human information processing ability we elaborated an information-theory-based model and a new measuring method. starting from the theoretical background of the well-known hick–hyman law and analysing the data acquired during the soyuz–salyut space missions, an important fact was derived. when examining the model by reducing the h(x) input entropy of the stimulus signals (symbols) and approaching to the 0 bit there was an interesting effect: through the reduction of h(x) input entropy towards zero the ratio of (processed information)/(input entropy) was increasing and its value approached to 1, while at non-zero entropy this ratio was less than 1. therefore a phase-change-like effect occurred below h(x) = 1 bit. consequently the zero bit measurement could not be involved into the determination of information processing ability (ipa) while the traditional measurements were performed only at two distinct values of entropy: at 0 bit and at a not too high h(x) value (e.g. 2 bits/symbol).
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کلیدواژه
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visual information processing ,information processing ability ,phase transition ,artificial neural networks ,associative memory
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آدرس
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Sándor Kalmár Institute of Information Technology, Kecskemét College Faculty of Mechanical Engineering and Automation, Hungary, Sándor Kalmár Institute of Information Technology, Kecskemét College Faculty of Mechanical Engineering and Automation, Hungary, Sándor Kalmár Institute of Information Technology, Kecskemét College Faculty of Mechanical Engineering and Automation, Hungary
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پست الکترونیکی
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bagany.mihaly@gamf.kefo.hu
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Authors
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