KI-Gehirn-Chip bei Querschnittlähmung: Was bringt ein in das Gehirn implantierter Chip Menschen mit Querschnittlähmung mehr an Lebensqualität und Mobilität?

A hidden Markov model that uses probabilistic retrospective inference allows for up to one month of unsupervised recalibration in an online cursor-based intracortical brain–machine interface.

A fundamental question in neuroscience is whether the brain uses specialized sub-systems for different types of decisions or relies on a unified decision-making network. The orbitofrontal cortex (OFC)...

A flexible micro-electrocorticography brain–computer interface that integrates a 256 × 256 array of electrodes, signal processing, data telemetry and wireless powering on a single complementary metal–...

While deep learning has enabled the decoding of language from intracranial brain recordings, achieving this with non-invasive recordings remains an open challenge. Here the authors introduce a deep le...

This study shows that non-invasive ultrasound to the human nucleus accumbens can modulate deep brain activity and enhance reward-guided learning, offering a potential alternative to invasive neuromodu...

Error recognition is fundamental to adaptive behavior, enabling rapid compensatory action when outcomes deviate from expectations. Central to this function are neural circuits for performance monitori...

The LGN is a critical stage between the retina and visual cortex, but the properties of human LGN neurons are not fully understood. Here the authors report that they closely resemble those in monkeys ...

The human superior temporal gyrus processes acoustic–phonetic properties of speech regardless of whether the language is familiar to the listener, but only encodes word boundaries and language-sp...

The Austin-based startup will test its high-bandwidth device to help restore speech in people with extremely limited movement.

We perceive continuous speech as a series of discrete words, despite the lack of clear acoustic boundaries. The superior temporal gyrus (STG) encodes …

Visual prostheses are improved by decoding neural signals to predict and control visual perceptions in blind individuals.

Synchron Inc. raised $200 million to advance its work building brain implants that doctors can insert through blood vessels, avoiding the costly and high-risk surgeries necessary to install devices ma...

Information technology — Brain-computer interfaces — Vocabulary

Translational Psychiatry - Invasive brain mapping identifies personalized therapeutic neuromodulation targets that suppress OCD network activity

Over 50 million people worldwide suffer from epilepsy, and many patients remain resistant to medication. Here, the authors hypothesized that targeting thalamic nuclei with precise anatomical...

Geographic atrophy due to age-related macular degeneration (AMD) is the leading cause of irreversible blindness and affects more than 5 million persons worldwide. No therapies to restore vision in ...

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A team at the Technical University of Munich’s TUM University Hospital has implanted a brain-computer interface in a patient paralyzed from the neck down.

The functional organization of the posterior parietal cortex (PPC) for guiding eye movements has remained unknown. Here, the authors use functional ultrasound neuroimaging to reveal small, tuned clust...

A 1,024-channel microelectrode array is delivered to the brain cortex via a minimally invasive incision in the skull and dura, and allows recording, stimulation and neural decoding across large portions of the brain in porcine models and human neurosurgical patients.

Speech brain-computer interfaces face challenges scaling across individuals with different brain organization. Using minimally invasive recordings from 25 patients, the authors developed transfer learning methods that enable robust speech decoding even with incomplete brain coverage.