Zobrazeno 1 - 10 of 142 pro vyhledávání: '"János, VÉGH"'
1
Akademický článek
Revisiting neural information, computing and linking capacity
Autor: János Végh, Ádám József Berki
Publikováno v: Mathematical Biosciences and Engineering, Vol 20, Iss 7, Pp 12380-12403 (2023)
Neural information theory represents a fundamental method to model dynamic relations in biological systems. However, the notion of information, its representation, its content and how it is processed are the subject of fierce debates. Since the limit
Externí odkaz: https://doaj.org/article/3645f1f039454196aa7a8732ae282575
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2
Akademický článek
How Amdahl’s Law limits the performance of large artificial neural networks
Autor: János Végh
Publikováno v: Brain Informatics, Vol 6, Iss 1, Pp 1-11 (2019)
Abstract With both knowing more and more details about how neurons and complex neural networks work and having serious demand for making performable huge artificial networks, more and more efforts are devoted to build both hardware and/or software si
Externí odkaz: https://doaj.org/article/cdc624cbfcf9416ea7b171e4d2658c00
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3
Akademický článek
Towards Generalizing the Information Theory for Neural Communication
Autor: János Végh, Ádám József Berki
Publikováno v: Entropy, Vol 24, Iss 8, p 1086 (2022)
Neuroscience extensively uses the information theory to describe neural communication, among others, to calculate the amount of information transferred in neural communication and to attempt the cracking of its coding. There are fierce debates on how
Externí odkaz: https://doaj.org/article/44af36a2bef84a8c85ea179f44953d06
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5
Akademický článek
Revising the Classic Computing Paradigm and Its Technological Implementations
Autor: János Végh
Publikováno v: Informatics, Vol 8, Iss 4, p 71 (2021)
Today’s computing is based on the classic paradigm proposed by John von Neumann, three-quarters of a century ago. That paradigm, however, was justified for (the timing relations of) vacuum tubes only. The technological development invalidated the c
Externí odkaz: https://doaj.org/article/2db08617542243fb979b58f8f89ac232
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7
Which scaling rule applies to large artificial neural networks
Autor: János Végh
Publikováno v: Neural Computing and Applications. 33:16847-16864
Experience shows that cooperating and communicating computing systems, comprising segregated single processors, have severe performance limitations, which cannot be explained using von Neumann’s classic computing paradigm. In his classic “First D
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2ccb02c410abc2bf2422457d688a1c4c
https://doi.org/10.1007/s00521-021-06456-y
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8
On the Role of Speed in Technological and Biological Information Transfer for Computations
Autor: Ádám József Berki, János Végh
Publikováno v: Acta Biotheoretica. 70
In all kinds of implementations of computing, whether technological or biological, some material carrier for the information exists, so in real-world implementations, the propagation speed of information cannot exceed the speed of its carrier. Becaus
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce96c84e2e5270ae96f21ca650b17f39
https://doi.org/10.1007/s10441-022-09450-6
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