This study presents valuable findings by reanalyzing previously published MEG and ECoG datasets to challenge the predictive nature of pre-onset neural encoding effects. The evidence supporting the ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Abstract: Advancements in machine learning (ML) and artificial intelligence (AI) have paved the way for the deepfake spectrum to expand in the tech space. The growing demand for generative AI has ...

Abstract: Speech emotional recognition (SER) focuses on developing computers' comprehension and response to human emotional tones and is a key field of research in human-machine interaction. This ...