Skip to main content
Advertisement

< Back to Article

Multitask learning of a biophysically-detailed neuron model

Fig 2

Swarm plots of the generalisation loss for each of the compartments (basal, oblique, apical) of the neuron model for each of the three models: Hard Parameter Sharing (MH), Multi-gate Mixture-of-experts (MMoE), and Multi-gate Mixture-of-Experts with Exclusivity (MMoEEx).

Note that basal dendrites of a neuron receive incoming signals from other neurons and convey them towards the cell body, while the apical dendrite extends from the cell body to integrate signals from distant regions, and oblique dendrites play a role in the integration of synaptic inputs at various angles away from the other dendrites. The vertical axis represents the numeric loss values while the horizontal axis, the different ANN models are indicated. The density of the data points in a specific region indicates how many compartments have a similar loss value for each model.

Fig 2

doi: https://doi.org/10.1371/journal.pcbi.1011728.g002