Synaptic Anatomy: Biological Data and Connectivity Analysis

This lecture delves into the synaptic anatomy of the brain, exploring available biological data on synapse distribution and potential postsynaptic neurons. It discusses the principles and algorithms used in circuit physiology and anatomy, emphasizing the importance of appositions between neurons for connectivity. The analysis compares computational models to biological data, addressing issues of synapse density and connection probabilities. The lecture also covers the reconstruction process, focusing on data-driven algorithms and the constraints on synapse numbers based on axon space. Through a detailed examination of appositions and synapse distributions, the instructor provides insights into the stochastic yet constrained nature of synaptic connections.