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Chinese Academy of Sciences Reveals the Brain Can Decode 3D Hand Movement Trajectories With Only a Few Neurons, Opening a New Path for Brain-Computer Interface Development

Source: IT之家 Published: Science & Research 中文
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IT Home, Nov 14: According to a Xinhua report last night, a team at the Institute of Automation of the Chinese Academy of Sciences, through primate experiments, revealed that the brain can decode three-dimensional hand movement trajectories using only a small number of neurons, providing a neuroscience basis for developing more efficient next-generation brain-computer interfaces. Using an unconstrained 3D grasping task with microelectrode arrays implanted in the macaque's left primary motor cortex and premotor cortex, the researchers found that some neurons in both the premotor cortex, which plans movements, and the primary motor cortex, which issues motor execution commands, encode the hand's real-time position; the data showed that both regions need only a few position-tuned cells to decode 3D trajectories, confirming the brain's extremely high coding efficiency. "The deeper our understanding of the brain, the better the performance brain-computer interfaces can achieve," said 余山, a researcher at the Institute of Automation of the Chinese Academy of Sciences, adding that if brain-computer interfaces could in future directly extract movement trajectories from the brain, they could

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Chinese Academy of Sciences Reveals That the Brain Can Decode Three-Dimensional Hand Movement Trajectories with Only a Small Number of Neurons, Opening a New Path for Brain-Computer Interface Development

IT之家, November 14: According to a report by Xinhua News Agency last night, a team at the Institute of Automation, Chinese Academy of Sciences, through experimental research on primates, revealed that the brain can decode three-dimensional hand movement trajectories using only a small number of neurons, providing a neuroscience basis for developing more efficient next-generation brain-computer interfaces.

In previous studies of the motor cortex, experiments often limited the macaques’ movement range to a small number of discrete positions, making it difficult for researchers to distinguish how neurons encode information.

To solve this problem, the research team designed an unconstrained three-dimensional grasping task and implanted microelectrode arrays in the macaque’s left primary motor cortex and premotor cortex. By calculating cell firing rates during movement in three-dimensional space, the researchers found that in both the premotor cortex, which is responsible for planning movement, and the primary motor cortex, which issues motor execution commands, some neurons encode the hand’s real-time position, thereby representing the position of the hand moving in space.

Experimental data showed that both the primary motor cortex and the premotor cortex need only a small number of position-tuned cells to decode three-dimensional trajectories, confirming the extremely high efficiency of brain coding.

“The deeper our understanding of the brain, the better the performance of brain-computer interfaces can be.” said 余山, a researcher at the Institute of Automation, Chinese Academy of Sciences. In the future, if brain-computer interfaces can directly extract movement trajectories from the brain, they will not only be able to execute action plans more efficiently, but also make control of external devices smoother.

The related research paper was recently published in the international academic journal Journal of Neuroscience. IT之家 provides the paper link below:

  • https://www.jneurosci.org/content/46/38/e1773252026

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