Visual BCIs based on steady-state visual evoked potentials (SSVEPs) have long been the gold standard for high-speed noninvasive brain-computer ...

The Linux-based ELF backdoor is targeting cloud workloads across providers, using SMTP-based C2 and typosquatted Alibaba ...

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

We don't need to keep up with our kids' changing lingo. Listening to the concerns, emotions, and desires that underlie the ...

Quantum dot–based time-bin QKD achieves stable, long-distance secure communication with practical performance.

A novel imaging method captures ultrafast events with unprecedented detail by combining laser encoding and AI reconstruction. Researchers have introduced a new imaging method that reveals far more ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify what ...

This manuscript presents important findings that challenge traditional models of speech processing by demonstrating that theta-gamma phase-amplitude coupling in the auditory cortex is primarily a ...

From dogs to whales, AI is unlocking how animals communicate.

Neural encoding is the study of how neurons represent information with electrical activity (action potentials) at the level of individual cells or in networks of neurons. Studies of neural encoding ...