In this piece, I highlight one particular talk that caught my interest — given by Elana Fertig, Dean E. Albert Reece Endowed ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

A multivariate analysis of electroencephalography activity reveals super-additive enhancements to the neural encoding of audiovisual stimuli, providing new insights into how the brain integrates ...

Common Spatial Pattern (CSP) is a widely utilized technique in ElectroEncephaloGraphy (EEG)-based Motor Imagery (MI) Brain-Computer Interfaces (BCIs) for feature extraction, owing to its simplicity ...

The spinning reel in an online slot game feels thrilling. But have you realised that specific results seem to repeat themselves more than others? Understanding spin patterns helps you understand how ...

Background: Wearable electroencephalography (EEG) devices enable noninvasive, real-time monitoring of cognitive states such as attention and stress. However, their practical deployment is limited by ...

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Abstract: The transformer model is excellent at handling time series signals (such as electroencephalography: EEG) because it can extract information from long-term dependencies effectively. This work ...

State Key Laboratory of Ecological Pest Control for Fujian and Taiwan Crops, College of Plant Protection, Fujian Agriculture and Forestry University, Fuzhou, China Large-scale patterns of species ...

Laplacian filters are commonly used in Brain Computer Interfacing (BCI). When only data from few channels are available, or when, like at the beginning of an experiment, no previous data from the same ...