Shuffled data in the investigation of complex dynamics of the neuromotor saccadic system

Saccadic temporal data series were examined for evidence of chaotic behavioral trend. To do this, we analyzed the saccadic data series recorded from healthy voluntary subject in special experimental design. Some computational tests based on chaos theory, as phase-space portrait reconstruction and estimation of its correlation dimension and Lyapunov exponent, were applied on saccadic raw data series, in comparison to the shuffled data of the same signal leading to evidence of chaotic dynamics in both cases. Comparison with theoretic chaotic data, quasi-periodic signal and pure random series was also discussed considering corresponding raw and shuffled data.