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A protocol for trustworthy EEG decoding with neural networks

Author(s): Borra D; Magosso E; Ravanelli M;

Deep learning solutions have rapidly emerged for EEG decoding, achieving state-of-the-art performance on a variety of decoding tasks. Despite their high performance, existing solutions do not fully address the challenge posed by the introduction of many hyperparameters, defining data pre-processing, network architecture, network training, and data augment ...

Article GUID: 39549492


Lamellar orientation at the surface of isotactic polystyrene thin films analyzed by sum frequency generation spectroscopy

Author(s): de Lima BM; Hayes PL; Wood-Adams PM;

Analyzing the orientation of polymeric crystalline lamella at the surface of thin films can be challenging. Even though atomic force microscopy (AFM) is often sufficient for this analysis, there are cases when imaging is not sufficient to confidently determine lamellar orientation. Here, we used sum frequency generation (SFG) spectroscopy to analyze the l ...

Article GUID: 36813456


DF-SSmVEP: Dual Frequency Aggregated Steady-State Motion Visual Evoked Potential Design with Bifold Canonical Correlation Analysis

Author(s): Karimi R; Mohammadi A; Asif A; Benali H;

Recent advancements in Electroencephalographic (EEG) sensor technologies and signal processing algorithms have paved the way for further evolution of Brain Computer Interfaces (BCI) in several practical applications, ranging from rehabilitation systems to smart consumer technologies. When it comes to Signal Processing (SP) for BCI, there has been a surge ...

Article GUID: 35408182


Assessment of Motor Cortex in Active, Passive and Imagery Wrist Movement Using Functional MRI

Author(s): Sharini H; Zolghadriha S; Riyahi Alam N; Jalalvandi M; Khabiri H; Arabalibeik H; Nadimi M;

Background: Functional Magnetic resonance imaging (fMRI) measures the small fluctuation of blood flow happening during task-fMRI in brain regions. Objective: This research investigated these active, imagery and passive movements in volunteers design to permit a comparison of their capabilities i ...

Article GUID: 34458199


PASS: A Multimodal Database of Physical Activity and Stress for Mobile Passive Body/ Brain-Computer Interface Research

Author(s): Parent M; Albuquerque I; Tiwari A; Cassani R; Gagnon JF; Lafond D; Tremblay S; Falk TH;

With the burgeoning of wearable devices and passive body/brain-computer interfaces (B/BCIs), automated stress monitoring in everyday settings has gained significant attention recently, with applications ranging from serious games to clinical monitoring. With mobile users, however, challenges arise due to other overlapping (and potentially confounding) phy ...

Article GUID: 33363449


Impact of fluorination on interface energetics and growth of pentacene on Ag(111).

Author(s): Wang Q, Chen MT, Franco-CaƱellas A, Shen B, Geiger T, F Bettinger H, Schreiber F, Salzmann I, Gerlach A, Duhm S

We studied the structural and electronic properties of 2,3,9,10-tetrafluoropentacene (F4PEN) on Ag(111) via X-ray standing waves (XSW), low-energy electron diffraction (LEED) as well as ultraviolet and X-ray photoelectron spectroscopy (UPS and XPS). XSW revealed that the adsorption distances of F ...

Article GUID: 32974114


Simulation and computer modeling of asphaltene in different solvents on oil-water interfaces using a molecular dynamic methodology.

Author(s): Yuan J, Elektorowicz M, Chen Z, Segun GA, Vakili M, Zhong L, Wang B, Zhu J, Wu Y

J Mol Graph Model. 2019 Sep 13;93:107450 Authors: Yuan J, Elektorowicz M, Chen Z, Segun GA, Vakili M, Zhong L, Wang B, Zhu J, Wu Y

Article GUID: 31542686


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