Neuro-Gradient is a newly emerging initiative that bridges computational neuroscience, cognitive science, and deep learning. The section will focus on modeling processes such as reasoning, memory, and forgetting using mathematics and code. Planned activities include hackathon participation, workshops (e.g., EEG signal analysis), and collaborations with other student research groups. While the section is still in its early stage, it aims to grow into a hub for neuro-AI research within the club.
active
9/26/2025
9/28/2025
coordinator
Founder and Coordinator of the Neuro-Gradient section
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