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Publications associées (35)

Corpus callosum structural characteristics in very preterm children and adolescents: Developmental trajectory and relationship to cognitive functioning

Dimitri Nestor Alice Van De Ville, Vanessa Siffredi

Previous studies suggest that structural alteration of the corpus callosum, i.e., the largest white matter commissural pathway, occurs after a preterm birth in the neonatal period and lasts across development. The present study aims to unravel corpus callo ...

ELSEVIER SCI LTD2023

Bodily self-consciousness as a framework to link sensory information and self-related components of episodic memory: behavioral, neuroimaging, and clinical evidence

Nathalie Heidi Meyer

The recollection of sensory information and subjective experience related to a personal past event depends on our episodic memory (EM). At the neural level, EM retrieval is linked with the reinstatement of hippocampal activity thought to recollect the sens ...

EPFL2023

Combination of Neurotechnologies Towards Personalized Neurorehabilitation for Stroke Patients

Claudia Bigoni

"Ensure healthy lives and promote well-being for all at all ages" is the third sustainable development goal for the United Nations Agenda of 2030. This doctoral thesis fully embodied this objective by targeting stroke, a leading cause of death and disabili ...

EPFL2023

From Learning to Memory: A Comparison Between Verbal and Non-verbal Skills in 22q11.2 Deletion Syndrome

Maude Schneider, Karin Bortolin

Background: Previous studies on possible memory deficits in 22q11DS often focused on quantifying the information memorized, whereas learning processes have been mostly overlooked. Furthermore, methodological differences in task design have made verbal and ...

FRONTIERS MEDIA SA2021

Learning continuous-time working memory tasks with on-policy neural reinforcement learning

Davide Zambrano

An animals' ability to learn how to make decisions based on sensory evidence is often well described by Reinforcement Learning (RL) frameworks. These frameworks, however, typically apply to event-based representations and lack the explicit and fine-grained ...

2021

The influence of anodal transcranial direct current stimulation over the right auditory cortex on interference effects in memory for melodies

Steffen Alexander Herff

The study investigates how transcranial direct current stimulation (tDCS) over the auditory cortex (AC) modulates memory for melodies under different noise conditions, whilst also considering cumulative disruptive interference effects. Forty-one participan ...

ACADEMIC PRESS INC ELSEVIER SCIENCE2021

Somatosensory-visual effects in visual biological motion perception

Olaf Blanke, Kim Do, Nathan Quentin Faivre, Manuel Mercier, Pierre Progin, Wenwen Chang

Social cognition is dependent on the ability to extract information from human stimuli. Of those, patterns of biological motion (BM) and in particular walking patterns of other humans, are prime examples. Although most often tested in isolation, BM outside ...

2020

Integrating regional perfusion CT information to improve prediction of infarction after stroke

Dimitri Nestor Alice Van De Ville, Maria Giulia Preti, Elisabeth Anne Dirren

Physiological evidence suggests that neighboring brain regions have similar perfusion characteristics (vascular supply, collateral blood flow). It is largely unknown whether integrating perfusion CT (pCT) information from the area surrounding a given voxel ...

SAGE PUBLICATIONS INC2020

Wide-field imaging of cortical neuronal activity with red-shifted functional indicators during motor task execution

Silvestro Micera, Maria Pasquini, Francesco Saverio Pavone

Genetically encoded calcium indicators (GECIs) can be used to monitor the intracellular concentration of free calcium in populations of neurons. GECIs with long emission wavelengths are particularly attractive for deep tissue microscopy in vivo, and have t ...

IOP PUBLISHING LTD2019

Improving Children Speech Recognition through Feature Learning from Raw Speech Signal

Selen Hande Kabil, Subrahmanya Pavankumar Dubagunta

Children speech recognition based on short-term spectral features is a challenging task. One of the reasons is that children speech has high fundamental frequency that is comparable to formant frequency values. Furthermore, as children grow, their vocal ap ...

IEEE2019

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