Bats use path-integration rather than acoustic- flow to assess flight distance along flyways - Aharon et al.

Figure 2 Variable: 500_YRLturns_together_X 500/503/etc. represent a bat. X represents a different condition. Each variable is a matrix providing all the turning points of a bat.

Each column is a single trial; odd rows are right turns and even rows are left turns. 4. Figure 3 Variable 1: 500_YRLturns_together_X 500/503/etc. represent a bat. X represents a different condition.

Each variable is a matrix providing all the turning points of a bat. Each column is a single trial; odd rows are right turns and even rows are left turns. Variable 2: 503_DistanceSlowX 500/503/etc. represent a bat.

X represents a different condition. Each variable is a matrix providing all the slowing points of a bat. Each column is a single trial; odd rows are left slowing points and even rows are right slowing points.

Variable 3: speedMeanCon_X 500/503/etc. represent a bat. X represents a different condition. Each number represents the mean speed of a trial. 5.

Figure 4 Variable 1: 200_YRLturns_together_X 100/200/etc. represent a bat. X represents a different condition. Each variable is a matrix providing all the turning points of a bat.

Each column is a single trial; odd rows are right turns and even rows are left turns. Variable 2: 500_con_accumulated_sumXm 500/503/etc. represent a bat. X represents a different detection distance of the tulle walls - 1m or 12m.

The vector is the accumulated distance of all the trials.