What Speech AI Sees in the Brain: Interpretable Features Explain Audio Model Success
Researchers show that interpretable speech features largely account for how well audio foundation models predict brain responses, while also revealing ...
Researchers show that interpretable speech features largely account for how well audio foundation models predict brain responses, while also revealing ...
Researchers report that brain network dynamics explored a narrowed feature space in the minutes before epileptic seizures, a signal they ...
Intracranial recordings from 15 people with Parkinson’s disease show that dopamine amplifies delayed subthalamic responses to cortical stimulation while leaving ...
A cross-species study in PLOS Biology shows that click trains with identical mean rates but different millisecond-scale temporal patterns evoke ...
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 ...
A soft bioelectronic system with a thermally responsive hydrogel interface gives neurosurgeons real-time, quantitative monitoring of the mechanical forces and ...
A new translational study shows that non-invasive temporal interference stimulation targeted at a deep thalamic arousal nucleus promotes wakefulness in ...
Recent developments in neuroscience and artificial intelligence have revealed a groundbreaking intersection that fuels our understanding of the human brain’s ...
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