Topic: population structure

Generate and interpret genomic evidence from natural-history collections. Lectures and practicals address historical-DNA extraction, library preparation and sequencing, then mapping, damage, contamination and coverage biases. Analyses of population structure, relatedness, diversity and demographic history lead into temporal studies of adaptation, genetic erosion and genetic load. Case studies connect museum specimens with molecular ecology and conservation decisions. 2027-02-08–2027-02-12, 09:00–14:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €530. Basic evolutionary-genomics

Neural computations are currently conceptualised using two separate approaches: sorting neurons into functional sub-populations or examining distributed collective dynamics. Whether and how these two aspects interact to shape computations is currently unclear. Using a novel approach to extract computational mechanisms from recurrent networks trained on neuroscience tasks, we show that the collective dynamics and sub-population structure play fundamentally complementary roles. Although various tasks can be implemented in networks with fully random population structure, we found that flexible i

Neural computations are currently investigated using two separate approaches: sorting neurons into functional subpopulations or examining the low-dimensional dynamics of collective activity. Whether and how these two aspects interact to shape computations is currently unclear. Using a novel approach to extract computational mechanisms from networks trained on neuroscience tasks, here we show that the dimensionality of the dynamics and subpopulation structure play fundamentally com- plementary roles. Although various tasks can be implemented by increasing the dimensionality in networks with ful