Bioscience Method 2024, Vol.15, No.1, 21-27 http://bioscipublisher.com/index.php/bm 27 this study offers valuable methodologies and theoretical foundations for further exploration in the field of neuroscience using task-driven models, particularly in deciphering the processes of proprioception and neural encoding mechanisms. 5 Access the Full Text Vargas A.M., Bisi A., Chiappa A.S., Versteeg C., Miller L.E., and Mathis A., 2024, Task-driven neural network models predict neural dynamics of proprioception, Cell, 187(7): 1745-1761 https://doi.org/10.1016/j.cell.2024.02.036 Acknowledgement I sincerely thank Cell for providing free access to papers for a wide audience. The journal's open access policy has enabled me to download, study, comment on, and share this outstanding research paper without any barriers. Cell's initiative has not only greatly promoted the widespread dissemination of scientific knowledge but also provided valuable learning resources for researchers, students, and science enthusiasts worldwide. The spirit of open sharing has profound significance in advancing scientific progress and enhancing the public's awareness and interest in scientific research. I again express my heartfelt gratitude for contribution and support of Cell and look forward to continuing to explore the mysteries of the scientific field through this platform.
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