Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Giovanni Mento"'
Autor:
Fiorella Del Popolo Cristaldi, Giulia Buodo, Filippo Gambarota, Suzanne Oosterwijk, Giovanni Mento
Publikováno v:
PLoS ONE, Vol 19, Iss 2, p e0297954 (2024)
People use their previous experience to predict future affective events. Since we live in ever-changing environments, affective predictions must generalize from past contexts (from which they may be implicitly learned) to new, potentially ambiguous c
Externí odkaz:
https://doaj.org/article/630b8ee6693045e69d0b108d6af14203
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Sensors, Vol 24, Iss 9, p 2863 (2024)
The recent scientific literature abounds in proposals of seizure forecasting methods that exploit machine learning to automatically analyze electroencephalogram (EEG) signals. Deep learning algorithms seem to achieve a particularly remarkable perform
Externí odkaz:
https://doaj.org/article/193617c8dce04f588d7c7094fdadf3cb
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract The possibility of predicting the specific features of forthcoming environmental events is fundamental for our survival since it allows us to proactively regulate our behaviour, enhancing our chance of survival. This is particularly crucial
Externí odkaz:
https://doaj.org/article/c93712110329474d934a20a0bb20811b
Publikováno v:
PLoS ONE, Vol 18, Iss 2, p e0281417 (2023)
Adaptive cognitive control (CC), the ability to adjust goal-directed behavior according to changing environmental demand, can be instantiated bottom-up by implicit knowledge, including temporal predictability of task-relevant events. In S1-S2 tasks,
Externí odkaz:
https://doaj.org/article/93625232a5704579b8b52edcc380ad91
Publikováno v:
NeuroImage, Vol 260, Iss , Pp 119508- (2022)
Despite shared procedures with adults, electroencephalography (EEG) in early development presents many specificities that need to be considered for good quality data collection. In this paper, we provide an overview of the most representative early c
Externí odkaz:
https://doaj.org/article/af2e8e2728d94cde9064b6a92e94e226
Publikováno v:
Frontiers in Behavioral Neuroscience, Vol 16 (2022)
Emotion regulation (ER) strategies can influence how affective predictions are constructed by the brain (generation stage) to prearrange action (implementation stage) and update internal models according to incoming stimuli (updating stage). However,
Externí odkaz:
https://doaj.org/article/c34059022e734fc8b55d4469c71338ee
Autor:
Sina Shafiezadeh, Gian Marco Duma, Giovanni Mento, Alberto Danieli, Lisa Antoniazzi, Fiorella Del Popolo Cristaldi, Paolo Bonanni, Alberto Testolin
Publikováno v:
Applied Sciences, Vol 13, Iss 7, p 4262 (2023)
There is an increasing interest in applying artificial intelligence techniques to forecast epileptic seizures. In particular, machine learning algorithms could extract nonlinear statistical regularities from electroencephalographic (EEG) time series
Externí odkaz:
https://doaj.org/article/3bed75083be24e7ab6e551959c5f5a2f
Publikováno v:
F1000Research, Vol 9 (2021)
Machine learning approaches have been fruitfully applied to several neurophysiological signal classification problems. Considering the relevance of emotion in human cognition and behaviour, an important application of machine learning has been found
Externí odkaz:
https://doaj.org/article/81e12b46a1f049de8d36af2892f4622f
Publikováno v:
Frontiers in Human Neuroscience, Vol 15 (2021)
During childhood, the body undergoes rapid changes suggesting the need to constantly update body representation based on the integration of multisensory signals. Sensory experiences in critical periods of early development may have a significant impa
Externí odkaz:
https://doaj.org/article/2024735558384590b68965d787a7f324
Publikováno v:
Brain Sciences, Vol 12, Iss 8, p 1061 (2022)
Due to pandemic-imposed restrictions on lab-based research, we have recently witnessed a flourishing of online studies in experimental psychology, based on the collection of fine behavioral measures such as reaction times (RTs) and accuracy. However,
Externí odkaz:
https://doaj.org/article/3e8af6b3818d47fd86df3342f1eb569e