Resolution:
standard / ## Figure 2.
Dimension reduction of nonlinear neuronal dynamics. (A). Phase space attractor of a three-dimensional neural mass flow. This attractor
is an illustration of the dynamics generated by the flow of a neural mass model (see
Breakspear et al. [33]). The dynamical variables represent the mean membrane potential of pyramidal (V) and inhibitory (Z) neurons, and the average number of open potassium ion channels (W). (B). PoincarĂ© first return map from the same attractor [33]; this map captures key features of the neural mass flow, by following each trajectory
from one intersection (V) of the attractor to the next (P(V)). (C). The quadratic logistic map. This map has the same unimodal topology as the
neural mass PoincarĂ© return map. While the logistic map lacks the "thickness" of the
neural mass map, it is several orders of magnitude faster to compute, hence allowing
the detailed quantitative analysis in the present paper.
Rubinov |