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Topic: Pareto optimality

ePoster
1 ePoster

In Applied Mathematics and Biology

ePoster · Computational Neuroscience

Computational modelling of dentate granule cells reveals Pareto optimal trade-off between pattern separation and energy efficiency (economy)

Martin Mittag, Alexander Bird, Hermann Cuntz, Peter Jedlicka · Bernstein Conference 2024

Hippocampal granule cell (GC) models exhibit degeneracy with different ion channel parameters resulting in comparable functional behaviour [1,2]. However, it is unknown how the degenerate models are further constrained by energetic considerations and known computational functions of GCs. Here, we use Pareto optimality to investigate this question. The Pareto perspective is particularly useful for multi-objective optimisation with multiple trade-offs [3]. We assume that evolution constrains and simplifies the ion channel parameter space by favouring Pareto optimal neurons, which cannot improve