By Mark A. Bee, Cory T. Miller
This e-book analyzes the mental mechanisms serious to animal verbal exchange. the themes coated diversity from unmarried neurons to broad-scale phylogenetic styles, laying off new mild at the sensory, perceptual, and cognitive approaches that underlie the communicative behaviors of signalers and receivers alike. In so doing, the contributing authors jointly combine examine questions and techniques from behavioral ecology, cognitive ethology, comparative psychology, evolutionary biology, sensory ecology, and neuroscience. No much less huge is the volume’s taxonomic insurance, which spans bees to blackbirds to baboons. the final word objective of the publication is to stimulate extra study into the variety and evolution of the mental mechanisms that make animal communique attainable.
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Additional info for Psychological Mechanisms in Animal Communication
2 Estimation of auditory filter bandwidth from tone-evoked ABRs in notched masking noise (from Henry and Lucas 2010a [Fig. 1]). The frequency of tone stimuli was 3 kHz. (a) ABR amplitude (normalized) plotted as a function of stimulus level at five different notch bandwidths [nw (right); expressed as the bandwidth in Hz divided by twice the center frequency of the notch (2 Â 3 kHz)]. ABRs were recorded from a tufted titmouse (Baeolophus bicolor). Solid lines show the fit of a generalized linear model used for estimation of ABR thresholds.
Chromatic contrast models were used to illustrate that these differences in cone density would result in differences in the ability of females to detect the quality of plumage signals known to be associated with mate choice. This individual variation in signal processing may alter the capacity of the signaler to encode relevant information in a signal, and it may also limit the capacity of the receiver to decode that information. Group-specific variation is most easily shown in animals that are subject to different environments.
The sender–receiver matching hypothesis is not restricted to the frequency range of vocal signals and frequency sensitivity. Vocalizations also vary in temporal structure and the temporal properties of vocal signals can play important roles in avian communication (Beckers and TenCate 2001). Gall et al. (2012a) investigated Fig. 4 ABR-based audiograms of four songbird species (from Lucas et al. 2015 [Fig. 5]). ) as a function of stimulus frequency for titmice (Baeolophus bicolor; triangles), nuthatches (Sitta carolinensis; squares), house sparrows (Passer domesticus; circles), and white-crowned sparrows (Zonotrichia leucophrys; diamonds).