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).

This approach combined: (1) supervised machine learning for text classification, (2) comparative topic modeling with both theory-driven and data-driven Latent Dirichlet Allocation (LDA) to identify ...

You probably send dozens of text messages a week. But do any of them truly deepen your friendships? For many people, the answer is no. “We’re constantly receiving and exchanging information, and ...

Right or (as it turns out) wrong, I wasn’t a sprinkle-your-first-name-into-conversation kind of guy. I’m not hugely self-assured, and saying the other person’s name felt forced. Or awkward. Or ...

If only they were robotic! Instead, chatbots have developed a distinctive — and grating — voice. Credit...Illustration by Giacomo Gambineri Supported by By Sam Kriss In the quiet hum of our digital ...

Summary: A new brain decoding method called mind captioning can generate accurate text descriptions of what a person is seeing or recalling—without relying on the brain’s language system. Instead, it ...

FortiNet devices store logs in a proprietary FLZ4 format - a block-based LZ4 compression format. This tool decodes these logs into plain text, making them accessible for analysis, SIEM integration, ...

The package contains a mixture of classic decoding methods and modern machine learning methods. For regression, we currently include: Wiener Filter, Wiener Cascade, Kalman Filter, Naive Bayes, Support ...