Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Leonidas A. A. Doumas"'
Autor:
Panagiotis Kourtesis, Danai Korre, Simona Collina, Leonidas A. A. Doumas, Sarah E. MacPherson
Publikováno v:
Frontiers in Computer Science, Vol 1 (2020)
Virtual reality (VR) head-mounted displays (HMD) appear to be effective research tools, which may address the problem of ecological validity in neuropsychological testing. However, their widespread implementation is hindered by VR induced symptoms an
Externí odkaz:
https://doaj.org/article/262a20961c814c5a92e5f02a7e3dcea3
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
There are major concerns about the suitability of immersive virtual reality (VR) systems (i.e., head-mounted display; HMD) to be implemented in research and clinical settings, because of the presence of nausea, dizziness, disorientation, fatigue, and
Externí odkaz:
https://doaj.org/article/2678e9f5f3e24dfbba8ab4418eba6899
Publikováno v:
Frontiers in Human Neuroscience, Vol 13 (2019)
Immersive virtual reality (VR) emerges as a promising research and clinical tool. However, several studies suggest that VR induced adverse symptoms and effects (VRISE) may undermine the health and safety standards, and the reliability of the scientif
Externí odkaz:
https://doaj.org/article/f4b74c482c744f15bb85478ba4640ba6
Publikováno v:
Frontiers in Psychology, Vol 9 (2018)
Children’s cognitive control and knowledge at school entry predict growth rates in analogical reasoning skill over time; however, the mechanisms by which these factors interact and impact learning are unclear. We propose that inhibitory control (IC
Externí odkaz:
https://doaj.org/article/84091320cdca4bdfbe6a610818e53e81
Autor:
John E. Hummel, Leonidas A. A. Doumas
Publikováno v:
The Cambridge Handbook of Computational Cognitive Sciences ISBN: 9781108755610
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d5b08cc2b681e7823c10d798724748d
https://doi.org/10.1017/9781108755610.018
https://doi.org/10.1017/9781108755610.018
Autor:
Barry Devereux, Paul Hoffman, Loris Naspi, Leonidas A. A. Doumas, Alexa M. Morcom, Tobias Thejll-Madsen
Publikováno v:
Naspi, L, Hoffman, P, Devereux, B, Thejll-Madsen, T, Doumas, L A A & Morcom, A 2021, ' Multiple dimensions of semantic and perceptual similarity contribute to mnemonic discrimination for pictures ', Journal of Experimental Psychology: Learning, Memory, and Cognition . https://doi.org/10.1037/xlm0001032
People often misrecognize objects that are similar to those they have previously encountered. These mnemonic discrimination errors are attributed to shared memory representations (gist) typically characterized in terms of meaning. In two experiments,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b6766e9ad493aef88e5394b7b92a18ed
https://doi.org/10.1037/xlm0001032
https://doi.org/10.1037/xlm0001032
Publikováno v:
Memory
Memory, 2021, 29 (4), pp.486-506. ⟨10.1080/09658211.2021.1904996⟩
Memory, Taylor & Francis (Routledge), 2021, 29 (4), pp.486-506. ⟨10.1080/09658211.2021.1904996⟩
Kourtesis, P, Collina, S, Doumas, L A A & MacPherson, S E 2021, ' An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality : The effects of delay and task type on everyday prospective memory ', Memory . https://doi.org/10.1080/09658211.2021.1904996
Memory, 2021, 29 (4), pp.486-506. ⟨10.1080/09658211.2021.1904996⟩
Memory, Taylor & Francis (Routledge), 2021, 29 (4), pp.486-506. ⟨10.1080/09658211.2021.1904996⟩
Kourtesis, P, Collina, S, Doumas, L A A & MacPherson, S E 2021, ' An ecologically valid examination of event-based and time-based prospective memory using immersive virtual reality : The effects of delay and task type on everyday prospective memory ', Memory . https://doi.org/10.1080/09658211.2021.1904996
Recent research has focused on assessing either event- or time-based prospective memory (PM) using laboratory tasks. Yet, the findings pertaining to PM performance on laboratory tasks are often inconsistent with the findings on corresponding naturali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::724987a284e6b759c9f087bd974e0349
https://doi.org/10.1080/09658211.2021.1904996
https://doi.org/10.1080/09658211.2021.1904996
A model for learning structured representations of similarity and relative magnitude from experience
Publikováno v:
Current Opinion in Behavioral Sciences, 37, 158-166
Current Opinion in Behavioral Sciences
Current Opinion in Behavioral Sciences, 37, pp. 158-166
Current Opinion in Behavioral Sciences
Current Opinion in Behavioral Sciences, 37, pp. 158-166
How a system represents information tightly constrains the kinds of problems it can solve. Humans routinely solve problems that appear to require abstract representations of stimulus properties and relations. How we acquire such representations has c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7cbdcd005f8a87961acd4065f22f5a46
https://doi.org/10.1016/j.cobeha.2021.01.001
https://doi.org/10.1016/j.cobeha.2021.01.001
Publikováno v:
Current Opinion in Behavioral Sciences
Martin, A E & Doumas, L 2019, ' Predicate learning in neural systems : Using oscillations to discover latent structure ', Current Opinion in Behavioral Sciences, vol. 29, pp. 77-83 . https://doi.org/10.1016/j.cobeha.2019.04.008
Martin, A E & Doumas, L 2019, ' Predicate learning in neural systems : Using oscillations to discover latent structure ', Current Opinion in Behavioral Sciences, vol. 29, pp. 77-83 . https://doi.org/10.1016/j.cobeha.2019.04.008
Humans learn to represent complex structures (e.g. natural language, music, mathematics) from experience with their environments. Often such structures are latent, hidden, or not encoded in statistics about sensory representations alone. Accounts of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31401601eaafc39674eb2b146b16b0e0
https://doi.org/10.1016/j.cobeha.2019.04.008
https://doi.org/10.1016/j.cobeha.2019.04.008
Publikováno v:
Martin, A E & Doumas, L A A 2020, ' Tensors and compositionality in neural systems ', Philosophical Transactions of the Royal Society B: Biological Sciences, vol. 375, no. 1791, 20190306 . https://doi.org/10.1098/rstb.2019.0306
Philosophical Transactions-Royal Society. Biological Sciences, 375
Philos Trans R Soc Lond B Biol Sci
Philosophical Transactions of the Royal Society B: Biological Sciences
Philosophical Transactions-Royal Society. Biological Sciences, 375, 1791
Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences
Philosophical Transactions-Royal Society. Biological Sciences, 375
Philos Trans R Soc Lond B Biol Sci
Philosophical Transactions of the Royal Society B: Biological Sciences
Philosophical Transactions-Royal Society. Biological Sciences, 375, 1791
Philosophical Transactions of the Royal Society of London, Series B: Biological Sciences
Neither neurobiological nor process models of meaning composition specify the operator through which constituent parts are bound together into compositional structures. In this paper, we argue that a neurophysiological computation system cannot achie
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76bfcb5cbcdf0b277b7eee4aead68c8d
https://www.pure.ed.ac.uk/ws/files/109705757/MartinDoumas_tensor_25June_1_.pdf
https://www.pure.ed.ac.uk/ws/files/109705757/MartinDoumas_tensor_25June_1_.pdf