Neural Networks: Hierarchical Models and Odor Taxis

This lecture explores the logic of neuronal function, from the basics of neural circuits and artificial neurons to the application of neural networks in odor taxis behaviors. It delves into the modeling of hierarchical neural networks and the prediction of neural responses in the visual cortex. The lecture also discusses the performance-optimized hierarchical models that predict neural responses in higher visual cortex, emphasizing the importance of computational models in understanding behavior encoding. Furthermore, it presents a study on disparate circuit parameters resulting in similar network activity, shedding light on the underlying rules and mechanisms of compensation in neural networks.