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pro vyhledávání: '"Szczepański, Janusz"'
Recently, Artificial Intelligence (AI)-based algorithms have revolutionized the medical image segmentation processes. Thus, the precise segmentation of organs and their lesions may contribute to an efficient diagnostics process and a more effective s
Externí odkaz:
http://arxiv.org/abs/2401.09857
Realistic modeling of brain involves large number of neurons. The important question is how this size affects transmission efficiency? Here, these issue is studied in terms of Shannon's Theory. Mutual Information between input and output signals for
Externí odkaz:
http://arxiv.org/abs/2210.08377
Autor:
Romański, Michał, Staniszewska, Marcela, Paszkowska, Jadwiga, Dobosz, Justyna, Romanova, Svitlana, Pieczuro, Jarosław, Kątny, Michał, Roznerska, Dagmara, Szczepański, Janusz, Schraube, Michał, Renn-Hojan, Monika, Puk, Ewa, Hrem, Oksana, Garbacz, Grzegorz, Danielak, Dorota
Publikováno v:
In International Journal of Pharmaceutics 25 June 2023 641
The nature of neural codes is central to neuroscience. Do neurons encode information through relatively slow changes in the emission rates of individual spikes (rate code), or by the precise timing of every spike (temporal codes)? Here we compare the
Externí odkaz:
http://arxiv.org/abs/1802.01833
Neuroscientists formulate very different hypotheses about the nature of neural code. At one extreme, it has been argued that neurons encode information in relatively slow changes of individual spikes arriving "rates codes" and the irregularity in the
Externí odkaz:
http://arxiv.org/abs/1603.02798
Autor:
Szczepański, Janusz
Publikováno v:
Pamięć i Sprawiedliwość. / Remembrance and Justice.. 38(2):37-63
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=1012783
Akademický článek
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Publikováno v:
In Computer Methods and Programs in Biomedicine December 2019 182
Publikováno v:
Dzieje Najnowsze / Contemporary History. 50(1):384-410
Externí odkaz:
https://www.ceeol.com/search/article-detail?id=710365
Autor:
Szczepanski, Janusz
Investigations of complexity of sequences lead to important applications such as effective data compression, testing of randomness, discriminating between information sources and many others. In this paper we establish formulas describing the distrib
Externí odkaz:
http://arxiv.org/abs/math/0009084