## 5 Discussion, Conclusions and Future Work
At higher levels of abstraction, non repetitive and novel stimulus would trigger more attentional processes [84]. In our stimulus setup, the synthetic fractal images were more consistent having similar structure, while the natural textures were more various. Further, it has been shown that the ratings of complexity are influenced significantly with judgments of familiarity [85]; recognizable forms that are easily categorized reduce the complexity of the texture and brain's interpretation becomes easier. Such as, with an increased familiarity, observers will overcome any complexity effects, resulting in shorter latencies. On the other hand when something is less likely, it will require more pieces of information to determine its meaning, hence longer latencies. Even though we tried to eliminate as possible recognizable textures from the natural image set, the familiarity effect still has an influence. These possible discrepancies given by distinctive regularities structures and familiarity influences should be eliminated in the next in-depth study. Characterizing texture plays an important role in computer vision in expressing the characteristics of a surface, while better understanding perception can be of great use for multimedia quality assessment by relating to the internal mechanisms of the human visual system, while for out of the lab applications, practicality is important. Therefore, in these prior experiments we investigated if a shallower information system (less channels) can capture aspects of complexity perception and reasoning, targeting real life applications where a bulky system will obstruct an easy use. We observed that even with 5 neural channels some information can still be captured and the complexity perception of synthetic color fractal and natural textures can be discriminated via LDA classification. Conceptualization, I.E.N. and M.I. ; methodology, I.E.N. and M.I. ; software, I.E.N. ; validation, M.I. ; formal analysis, I.E.N. ; investigation, I.E.N. ; resources, M.I. ; data curation, I.E.N. and M.I. ; writing--original draft preparation, I.E.N. ; writing--review and editing, M.I. ; visualization, I.E.N. and M.I. ; supervision, M.I. ; project administration, M.I. ; funding acquisition, I.E.N. and M.I. All authors have read and agreed to the published version of the manuscript. The current work is part of the post-doctoral research project entitled PerPlex: \"Human brain perception on the spatio-chromatic complexity of fractal color images\", carried out at University Transilvania of Brasov (UniTBV), Romania and was funded by the National Council of Scientific Research (CNCS) Romania via CNFIS-FDI-2019-0324. All procedures performed in the study involving human participants were approved by the relevant ethical committee of Medical Electronics and Computing Laboratory from the Faculty of Electronics, Telecommunications and Information Technology, University Politehnica of Bucharest in accordance with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. Informed Consent Statement: Informed consent was obtained from all individual participants included in the study and the recorded data is completely anonymized. The recorded EEG data is available at [[http://dx.doi.org/10.6084/m9.figshare.13489215](http://dx.doi.org/10.6084/m9.figshare.13489215)]([http://dx.doi.org/10.6084/m9.figshare.13489215](http://dx.doi.org/10.6084/m9.figshare.13489215)) [86]. We thank the reviewers for their valuable comments and revision on an earlier version of the manuscript which helped improved the present manuscript. The authors declare no conflict of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the results. No copyright issues are declared for all images.