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Explore a lecture where Dr. James Fitzgerald delves into ensemble modeling approaches for understanding biological neural networks. Learn how neuronal activity patterns form the foundation for perception, cognition, and behavior, and how these patterns emerge from networks of synaptic connections between neurons. The presentation covers innovative methods to link neural network structure and function through mathematical ensemble models, acknowledging that multiple connectivity patterns can produce similar functional responses. Discover how this approach generates testable experimental predictions, enables the development of biologically realistic neural network models, and informs new theories of learning and memory. The talk demonstrates how ensemble modeling provides a comprehensive framework for understanding brain function by examining the relationship between structural connectivity and functional activity in neural systems.
