Folks can see more for themselves here: https://github.com/htem/cb2_project_analysis
"Structured cerebellar connectivity supports resilient pattern separation" Nguyen, Thomas et al. in @darbly's lab https://www.nature.com/articles/s41586-022-05471-w
Spectacular work based on connectomic reconstruction from nanometre-resolution volume electron microscopy and computational modelling that contributes novel findings in cerebellar microcircuitry:
"both the input and output layers of the circuit exhibit redundant and selective connectivity motifs, which contrast with prevailing models. Numerical simulations suggest that these redundant, non-random connectivity motifs increase the resilience to noise at a negligible cost to the overall encoding capacity. This work reveals how neuronal network structure can support a trade-off between encoding capacity and redundancy, unveiling principles of biological network architecture with implications for the design of artificial neural networks."
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