De: Chagas Lourenço chlb...@gmail. com
Canção do Exílio Araqueado (Imitação burlesca) Minha terra tem besteiras, Quantas asneiras têm lá; Bloomsdays e Exuperys À sombra de um baobá. Nosso céu tem mais fumaça Do que no Beco da Lama, Nossos vates mais produzem Quando encostam um chara à chama. Cismando, sozinho, à noite, Se mais grana encontro eu lá; Minha terra tem jornais Onde se arranja o jabá! Minha terra tem horrores, Que tais não os vejo por cá; Em pensar – noite e mais noite – No que vou fazer por lá; Minha terra tem besteiras: Me agarro com o baobá! Não permita Alá que eu corra Dos imbecis que tem lá; Sem que malhe os capadócios Que não encontro eu por cá: Bloomsdays e Exupérys Arrenego, quá-quá-quá...! Laélio Ferreira junho/2009 --- Em qui, 18/6/09, ROSELIS <[email protected]> escreveu: Orf, Muito interessante essa pesquisa se tiver mais me mande tenho interesse em conhecer. Roselis Medeiros --- Em qui, 18/6/09, Ørf <[email protected]. br> escreveu: Scale-Free Music of the Brain Dan Wu 1, Chao-Yi Li 1,2, De-Zhong Yao 1 1 Key Laboratory for NeuroInformation of Ministry of Education, School of Life Science and Technology, University of Electronic Science and Technology of China, Chengdu, China, 2 Center for Life Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China Abstract Background There is growing interest in the relation between the brain and music. The appealing similarity between brainwaves and the rhythms of music has motivated many scientists to seek a connection between them. A variety of transferring rules has been utilized to convert the brainwaves into music; and most of them are mainly based on spectra feature of EEG. Methodology/ Principal Findings In this study, audibly recognizable scale-free music was deduced from individual Electroencephalogra m (EEG) waveforms. The translation rules include the direct mapping from the period of an EEG waveform to the duration of a note, the logarithmic mapping of the change of average power of EEG to music intensity according to the Fechner's law, and a scale-free based mapping from the amplitude of EEG to music pitch according to the power law. To show the actual effect, we applied the deduced sonification rules to EEG segments recorded during rapid-eye movement sleep (REM) and slow-wave sleep (SWS). The resulting music is vivid and different between the two mental states; the melody during REM sleep sounds fast and lively, whereas that in SWS sleep is slow and tranquil. 60 volunteers evaluated 25 music pieces, 10 from REM, 10 from SWS and 5 from white noise (WN), 74.3% experienced a happy emotion from REM and felt boring and drowsy when listening to SWS, and the average accuracy for all the music pieces identification is 86.8%(κ = 0.800, P<0.001). We also applied the method to the EEG data from eyes closed, eyes open and epileptic EEG, and the results showed these mental states can be identified by listeners. Conclusions/ Significance The sonification rules may identify the mental states of the brain, which provide a real-time strategy for monitoring brain activities and are potentially useful to neurofeedback therapy. Source: PLoS One [Open Access] [Inlcudes Six Audio recordings] http://www.plosone. org/article/ info:doi/ 10.1371/journal. pone.0005915 Posted by Robert Karl Stonjek Veja quais são os assuntos do momento no Yahoo! + Buscados: Top 10 - Celebridades - Música - Esportes Veja quais são os assuntos do momento no Yahoo! +Buscados http://br.maisbuscados.yahoo.com
