The main question is to inquire about the related possibilities to intertwine human affective states with computer autonomous processes. May one say that the computer agents, by capturing world percepts, are perceiving the human mind activity? How they convey, interpret, and react to it? Possible answers to this question may open poetic and aesthetic research fields for artists, leading to a better understanding of how computers collect emotional states within human minds, applying brain sensing technologies for the art domain. Also, the exploration of this relation between the artwork and the interactor may reshape how one feels, behaves, understands and, ultimately, treats computer autonomous process after being aware of ones own emotions. The authors believe this approach represents an initial step in exploring a relevant area by applying it to Computer Art investigation.

To complement this approach for future works, one has to consider potential scientific applications of BCIs that are beyond visible controllers such as: motion control, medical devices, controlling home appliances, phone address books, haptic devices, web search engines, among others. Some mathematical and artworks may improve natural ideas through BCIs explorations for visual images generation. The IMA-SP recent group works are demonstrating human ability to voluntarily regulate the activity of neurons responsible for visual images generation. The experiments were based on mathematical models and exploratory programming together with aesthetics through computer arts concepts. 'Ilustrativo' is an example of this approach. In it EEG is recorded by electrodes placed on the scalp and digitized by an analogical to digital converter device (ADC). Computer process extracts features most suitable for identifying the subject’s intentions. When intention is classified, a certain command is sent to an  external device (e.g., a display). Feedback provides the subject with results of his/her actions thus allowing him/her to adapt to the system behaviour. By Donizetti Louro, Tania Fraga e Mauro Pichiliani. Ask to receive a copy of this work at Thanks.