... on feeding state, and not on sensory stimulation. Cuttlefish cognition Spectral profile Theta oscillations Principal component analysis Machine learning Chaire Beauté(s) PSL-L'Oréal Centre national de la recherche scientifique http://dx.doi.org/10.13039/501100004794...

... dichromatism. We found that all three methods, principal component analysis, segment classification and colour discriminability, yielded essentially comparable estimates of dichromatism for our extensive sample of birds. Certain methods may be better suited to a particular study depending on the questions...

... combinations. Wavelet and principal component analysis were used to simultaneously decompose the signals into time and frequency space. The relative frequency components of the signals were quantified during 20 time windows of a stride from each locomotor condition. Differences in signal frequency components...

... using principal component analysis. Bursts of muscle activity were characterized by hysteresis in the myoelectric frequencies, with different frequencies occurring at different times, indicating time-varying shifts in the motor recruitment patterns. This hysteresis occurred at all locomotor speeds...

... The Company of Biologists Limited 2003 2003 retina teleost salmonid fish ultraviolet-sensitive cones ontogeny topographic mapping principal component analysis neuroregeneration Salmonid fishes undergoing the process of smoltification have elevated levels of thyroid hormones ( Barron,1986...

... signal mate quality and are not a species-specific characteristic. We discuss the use of principal component analysis in analysing spectral data in the context of visual communication. We propose the alternative application of confidence intervals of averaged spectra as a novel straightforward...