Understanding narwhal diving behaviour using Hidden Markov Models with dependent state distributions and long range dependence

Here, Iqbal, Yin et al. propose a new model that is capable of reproducing the rich behavior of monkeys playing against each other in a dynamic decision task. Their model quantifies players’ goals at each moment and offers a means of performing controlled experiments via simulation. This makes possible more realistic experimental paradigms for the study of strategic decision making and social interaction.

Luque et al. explore the role of Purkinje spike burst-pause dynamics in VOR adaptation. A biophysical model of Purkinje cell is at the core of a spiking network model, which captures the cerebellar microcircuit properties and incorporates spike-based synaptic plasticity mechanisms at different cerebellar sites.

Berg et al. combine in vitro experiments studying tumor growth and virus spread in two and three dimensions to inform the development of a spatially explicit computational model of tumor virotherapy and compare the outcome with non-spatial, mean-field models.