Results 61 to 70 of about 233,869 (346)

Individual alpha frequency tACS reduces static functional connectivity across the default mode network

open access: yesFrontiers in Human Neuroscience
IntroductionResearch on the influence of transcranial alternating current stimulation over alpha functional connectivity (FC) is scarce, even when it poses as a potential treatment for various diseases.
Martín Carrasco-Gómez   +14 more
doaj   +1 more source

BDNF Val66Met Polymorphism and Gamma Band Disruption in Resting State Brain Functional Connectivity: A Magnetoencephalography Study in Cognitively Intact Older Females

open access: yesFrontiers in Neuroscience, 2018
The pathophysiological processes undermining brain functioning decades before the onset of the clinical symptoms associated with dementia are still not well understood. Several heritability studies have reported that the Brain Derived Neurotrophic Factor
Inmaculada C. Rodríguez-Rojo   +23 more
doaj   +1 more source

Identifying Diurnal Variability of Brain Connectivity Patterns Using Graph Theory

open access: yesBrain Sciences, 2021
Significant differences exist in human brain functions affected by time of day and by people’s diurnal preferences (chronotypes) that are rarely considered in brain studies.
Farzad V. Farahani   +13 more
doaj   +1 more source

Cognitive architectures as Lakatosian research programmes: two case studies [PDF]

open access: yes, 2006
Cognitive architectures - task-general theories of the structure and function of the complete cognitive system - are sometimes argued to be more akin to frameworks or belief systems than scientific theories.
Altmann EM   +34 more
core   +3 more sources

Artificial Intelligence for Bone: Theory, Methods, and Applications

open access: yesAdvanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan   +3 more
wiley   +1 more source

Task-irrelevant stimuli reliably boost phasic pupil-linked arousal but do not affect decision formation

open access: yesScientific Reports
The arousal systems of the brainstem, specifically the locus coeruleus-noradrenaline system, respond “phasically” during decisions. These central arousal transients are accompanied by dilations of the pupil.
J. Hebisch   +7 more
doaj   +1 more source

The Role of Magnetoencephalography in the Early Stages of Alzheimer’s Disease

open access: yesFrontiers in Neuroscience, 2018
The ever increasing proportion of aged people in modern societies is leading to a substantial increase in the number of people affected by dementia, and Alzheimer’s Disease (AD) in particular, which is the most common cause for dementia.
David López-Sanz   +6 more
doaj   +1 more source

Towards Learning ‘Self’ and Emotional Knowledge in Social and Cultural Human-Agent Interactions [PDF]

open access: yes, 2009
Original article can be found at: http://www.igi-global.com/articles/details.asp?ID=35052 Copyright IGI. Posted by permission of the publisher.This article presents research towards the development of a virtual learning environment (VLE) inhabited by ...
Dautenhahn, K.   +5 more
core   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

open access: yesAdvanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong   +4 more
wiley   +1 more source

Human‐Machine Mutual Trust Based Shared Control Framework for Intelligent Vehicles

open access: yesAdvanced Intelligent Systems, EarlyView.
This work introduces a bidirectional‐trust‐driven shared control framework for human‐machine co‐driving. The method models human‐to‐machine trust from intention discrepancies and Bayesian skill assessment, and machine‐to‐human trust from integrated ability evaluation.
Zhishuai Yin   +4 more
wiley   +1 more source

Home - About - Disclaimer - Privacy