The visual information walkers use for path selection during locomotion was revealed by analysis of a three-dimensional numerical representation of the natural terrain.
A mathematical model can predict the path walkers take through a rugged landscape, including the tendency of people to avoid paths that are too steep, even if it means going farther.
Computational modeling shows how neural mechanisms for mitigating biological constraints (such as neurons’ limited firing range) may eventually result in complex though predictable irrational behavior.
Motor units within a pool exhibit distinct rate coding as force levels change, highlighting how gain control can transform inputs with limited bandwidth into the desired muscle force.
