Transient-based click decoding for brain-computer interface cursor emulation

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University of Pittsburgh researchers have developed a brain-computer interface (BCI) technology is an emerging therapeutic option for those suffering from motor dysfunction due to stroke, amputation, spinal cord injury, or neurodegenerative diseases.
Currently, BCI systems are limited in the range and flexibility of movements for paralyzed individuals, therefore hindering natural and complex movements.
This invention outperforms standard BCI systems by eliminating the need for explicit recalibration; instead, calibrating based on kinematic information.
This approach targets the proprioceptive areas of the thalamus to enhance motor cortex excitability, leading to improved motor control and speech recovery in patients with conditions such as stroke, traumatic brain injury, and ALS.
It offers a personalized approach by selecting the optimal thalamic nucleus for each patient, leading to significant improvements in motor control and speech.
By leveraging a shared optical conduit and combining distinct wavelengths for separate tasks, it minimizes complexity and interference while enhancing spatial precision and temporal control.
- Provides precise control over neural activity while monitoring calcium dynamics.
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        Changfeng Tai
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        Elvira Pirondini
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        Helen Schwerdt
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        Murat Akcakaya
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        Elvira Pirondini
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        Xinyan Cui
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        Andrew B. Schwartz
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