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BI 202 Eli Sennesh: Divide-and-Conquer to Predict

Brain Inspired

CHAPTER

Theoretical Foundations in Neural AI

This chapter explores the ambitious goals of neural AI, focusing on the need for a theory-driven approach to analyze synaptic strengths and neural data. It emphasizes the importance of collaboration between theorists and experimentalists to empower researchers and enhance data analysis techniques. The discussion highlights the evolving landscape of neuroscience research tools and the necessity for innovative methods that balance theoretical understanding with practical applications.

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