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Explore the second lecture on Biological Neural Networks delivered by Fernanda Selingardi Matias from Universidade Federal de Alagoas, Brazil, as part of the ICTP-SAIFR School on Biological Physics and Biomolecular Simulations in the Machine Learning Era. This hour-long session continues the exploration of neural networks from a biological perspective, building upon concepts introduced in the first class. Gain insights into how biological neural systems function, their computational properties, and their relevance to both neuroscience and machine learning applications. The lecture is part of a comprehensive program scheduled for April 14-19, 2025, bringing together cutting-edge research at the intersection of biological physics and computational methods.
