Tag: Neural Decoding

Researchers have built a deep learning network combining multiscale convolutional filtering with temporal and channel attention that outperformed five leading ...

A computational study found that confidence-based routing between subject-specific and pooled decoders improved P300 EEG decoding in two public datasets.

An offline EEG study of 97 healthy adults linked motor imagery to brief limb execution and used a dual-branch neural ...

A computational study of cat primary visual cortex shows that motion direction and temporal frequency are encoded in subtle, spatially ...

Researchers have developed a graph-based deep learning network that decodes imagined movements from EEG signals with accuracies of up to ...

A single high-density ECoG implant allowed three paralyzed participants to decode attempted speech and gestures simultaneously, driving a personalized avatar ...

High-density brain recordings in awake surgical patients reveal that imagined speech shares a supramodal planning network with overt articulation while ...

Intracranial recordings in six neurosurgical patients show that medial and lateral orbitofrontal cortex send opposing decision signals that flicker between ...

Harvard researchers used tissue-like flexible electrode arrays to track the same mouse neurons for five months and showed that geometric ...

A brain-inspired spiking neural network that filters and decodes EEG signals can detect mental fatigue in tower crane operators with ...