Table 1.

Observed variables extracted from the mouse BPM data.

Symbols	Variables	Description
cnts	counts	The number of times the mouse changes direction or activity type (e.g., when moving forward, it changes direction or completes a rear and then a holepoke).
trans	transitions	The BPM chamber is divided into nine different regions (Fig. 1) – a transition is when the mouse moves from one region to another.
CT	center time	The amount of time [sec] the mouse is in the center region (Region 5).
h	entropy	Entropy quantifies the variety of different locomotor patterns (h = 0 for a repetitive locomotion). Higher entropy indicates larger variability in locomotion, hence lower predictability of next movement.
d	spatial d	Spatial d, or dimensionality, quantifies the geometrical structure of the movement of the animal through space, showing whether the movement is in long, one-dimensional lines (d=1.0), in a meandering path (d=~1.5), or in more two-dimensional, localized movements (d=2.0).
sCV	spatial CV	Spatial coefficient of variation in the transition from one region to another. A more preferential exhibition of a subset of transitions results in a higher value of sCV.
tCV	temporal CV	Temporal coefficient of variation. A measure of the predictability of time spent in regions. Higher values of tCV indicate higher predictability.
%vrear	%varied rears normalized	%vrear = (vrearn/cnts)*100, where vrearn = total rears - rrears, and rrears is the number of repeated rears at the same location.
%vpoke	%varied pokes normalized	%vpokn = (vpokn/cnts)*100, where vpokn = total pokes - rpokes, and rpokes is the number of repeated pokes in the same hole without an intervening transition or rearing. Thus, varied pokes reflects bouts of holepoking behavior.