Elucidating the behavior of
However, our understanding of how these collectives coordinate themselves is in its infancy when compared to what we know about how single cells function as individuals.
This knowledge gap exists because of the technological challenges presented by connecting microscale events happening on a timescale of seconds inside cells to the macroscale events occurring over hours in collectives.
These models produce “behavioral landscapes” in which space use and resource selection is linked through behavior.
Radio telemetry locations were collected from 35 adult Willow Flycatchers (n = 14 males, n = 13 females, and n = 8 unknown sex) over the 20 breeding seasons at Fish Creek, Utah.
Hence, such recordings can elucidate the mechanisms that underlie fundamental phenomena, such as brain state, sparse coding, gating, gain modulation, and learning.
Technical developments have increased the range of behaviors during which intracellular recording methods can be employed, such as in freely moving animals and head-fixed animals actively performing tasks, including in virtual environments.
Such advances, and the combination of intracellular recordings with genetic and imaging techniques, have enabled investigation of the mechanisms that underlie neural computations during natural and trained behaviors.
► DPA-11 exhibits the much lower crystallization rate than PA-11.
Differential scanning calorimetry (DSC) confirms DPA-11 crystallizes at a much slower rate than PA-11.
The kinetic analysis demonstrates the Avrami equation can generally well predict relative crystallinity values, accounting for the appreciably lowered spherulitic growth rate.
in molecular biology from Oregon State University in 1999. She is currently an Associate Professor at the Johns Hopkins School of Medicine and School of Public Health.
in Psychiatric Epidemiology from Johns Hopkins University in 2003.