Sebastian Seung’s lecture on neural modeling and structural connectomics: (PDF)
Space-time wiring specificity supports direction selectivity in the retina: (PDF)
Here are a few of my favorite papers from Sebastian’s list of publications:
Reading the Book of Memory: Sparse Sampling versus Dense Mapping of Connectomes: (PDF)
Machines that learn to segment images: a crucial technology for connectomics: (PDF)
Learning in Spiking Neural Networks by Reinforcement of Stochastic Synaptic Transmission: (PDF)
Digital selection and analogue amplification coexist in a cortex-inspired silicon circuit: (PDF)