Neural interfaces are devices that can detect or modulate neuronal activity when placed in contact with the brain. They are already used to treat various conditions related to the nervous system. However, current technologies still have limitations that can reduce their effectiveness. One example is their unidirectional function. While most existing interfaces can stimulate the brain, they cannot accurately detect or decode brain activity simultaneously. Even when they can do so, they often face limitations in the detection of certain signals, particularly those at very low frequencies.
Now, a study led by researchers at IMB-CNM-CSIC and ICN2, recently published in Nature Communications, presents a device capable of overcoming these barriers that has already been successfully tested in mouse models.
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