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Lecture
Are you an EPFL student looking for a semester project?
Work with us on data science and visualisation projects, and deploy your project as an app on top of Graph Search.
This lecture explores the intricate patterns of neuronal connectivity, focusing on concepts such as divergence and convergence in neural networks. It delves into connection probabilities between neurons, local circuit interactions, graph theory, and the topography of long-range projections. The presentation covers various experimental techniques used to study synaptic connectivity, including multi-patch clamp recordings and tractography. The discussion extends to the universal motifs found in mammalian neuronal microcircuits and the spatial embedding of synaptic motifs. The lecture concludes by emphasizing the complexity of neuronal networks and the challenges in reconstructing and understanding the connectome.