Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Tamas Madl"'
Autor:
Tamas Madl
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-14 (2024)
Abstract With mounting evidence for the benefits of meditation, there has been a growing interest in measuring and quantifying meditative states. This study introduces the Inner Dereification Index (IDI), a class of personalized models designed to qu
Externí odkaz:
https://doaj.org/article/e88ab037739f49558add3c3fa23836d1
Autor:
Mathew J. Summers, Tamas Madl, Alessandro E. Vercelli, Georg Aumayr, Doris M. Bleier, Ludovico Ciferri
Publikováno v:
DigitCult@Scientific Journal on Digital Cultures, Vol 2, Iss 2 (2017)
Artificial intelligence (AI) deep learning protocols offer solutions to complex data processing and analysis. Increasingly these solutions are being applied in the healthcare field, most commonly in processing complex medical imaging data used for di
Externí odkaz:
https://doaj.org/article/7ff853748edc4d81bdec8d7e8ba7602e
Publikováno v:
PLoS ONE, Vol 11, Iss 6, p e0157343 (2016)
It has been suggested that the map-like representations that support human spatial memory are fragmented into sub-maps with local reference frames, rather than being unitary and global. However, the principles underlying the structure of these 'cogni
Externí odkaz:
https://doaj.org/article/8c413db5e4ec483baf1ba24185ac61ed
Publikováno v:
PLoS ONE, Vol 10, Iss 8, p e0136128 (2015)
Externí odkaz:
https://doaj.org/article/b7505cd5e2ed46a495bf58769e5186f1
Publikováno v:
PLoS ONE, Vol 9, Iss 3, p e89762 (2014)
Accurate spatial localization requires a mechanism that corrects for errors, which might arise from inaccurate sensory information or neuronal noise. In this paper, we propose that Hippocampal place cells might implement such an error correction mech
Externí odkaz:
https://doaj.org/article/c96b3ee0dc614a70a0c9ee01885825cb
Publikováno v:
PLoS ONE, Vol 6, Iss 4, p e14803 (2011)
We propose that human cognition consists of cascading cycles of recurring brain events. Each cognitive cycle senses the current situation, interprets it with reference to ongoing goals, and then selects an internal or external action in response. Whi
Externí odkaz:
https://doaj.org/article/a01705ba315349ce93cb93ebb88cd438
Publikováno v:
Madl, T, Franklin, S, Chen, K & Trappl, R 2018, ' A computational cognitive framework of spatial memory in brains and robots ', Cognitive Systems Research, vol. 47, pp. 147-172 . https://doi.org/10.1016/j.cogsys.2017.08.002, https://doi.org/10.1016/j.cogsys.2017.08.002
Computational cognitive models of spatial memory often neglect difficulties posed by the real world, such as sensory noise, uncertainty, and high spatial complexity. On the other hand, robotics is unconcerned with understanding biological cognition.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5f656ccb666e9c087db59ab84475533e
https://doi.org/10.1016/j.cogsys.2017.08.002
https://doi.org/10.1016/j.cogsys.2017.08.002
Autor:
Tamas Madl, Liwen You, James Golden, Niroshan Nadarajah, Stephan Hutter, Wencke Walter, Manja Meggendorfer, Claudia Haferlach, Erika Pelaez Coyotl, Torsten Haferlach, Wolfgang Kern
Publikováno v:
Blood. 138:275-275
Background: Currently, hematologic neoplasms are diagnosed using a combination of methods, which require complex equipment and highly skilled clinical laboratory scientists and technicians - scarce resources. WGS and WTS could streamline this process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1cd9331bae567549479298a830a0ed10
https://doi.org/10.1182/blood-2021-152970
https://doi.org/10.1182/blood-2021-152970
Publikováno v:
Madla, T, Franklin, S, Chen, K, Montaldi, D & Trappl, R 2016, ' Towards real-world capable spatial memory in the LIDA cognitive architecture ', Biologically Inspired Cognitive Architectures, vol. 16, pp. 87 . https://doi.org/10.1016/j.bica.2016.02.001
The ability to represent and utilize spatial information relevant to their goals is vital for intelligent agents. Doing so in the real world presents significant challenges, which have so far mostly been addressed by robotics approaches neglecting co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ae51ddb6e98bf54f190d7a4da6c55e4
https://doi.org/10.1016/j.bica.2016.02.001
https://doi.org/10.1016/j.bica.2016.02.001
Publikováno v:
European Journal of Emergency Medicine. 27:e2-e2
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::043a15caaa9e93e2c5f6dd8326b8708f
https://doi.org/10.1097/01.mej.0000697800.85999.db
https://doi.org/10.1097/01.mej.0000697800.85999.db