Nicole Abaid

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We investigate higher order matched asymptotic expansions of a steady-state Poisson–Nernst–Planck (PNP) system with particular attention to the I-V relations of ion channels. Assuming that the Debye length is small relative to the diameter of the narrow channel, the PNP system can be viewed as a singularly perturbed system. Special structures of the zeroth(More)
We experimentally explore the motion of falling spheres in strongly stratified fluids in which the fluid transitions from low density at the top to high density at the bottom and document an internal splash in which the falling sphere may reverse its direction of motion ~from falling, to rising, to falling again! as it penetrates a region of strong density(More)
Recently developed bioinspired robots imitate their live counterparts in both aspect and functionality. Nevertheless, whether these devices can be integrated within the ecological niche inspiring their design is seldom tested experimentally. An elemental research question concerns the feasibility of modulating spontaneous behaviour of animal systems through(More)
Mathematical models of fish schooling offer powerful tools to understand and interpret fundamental aspects of social life, such as foraging, predator avoidance, and migration. Here, we study zebrafish (Danio rerio) response to computer-animated fish shoals whose motion is generated by a mathematical model of schooling. We use a dichotomous test wherein fish(More)
In this paper, we present a bioinspired robotic fish designed to modulate the behavior of live fish. Specifically, we experimentally study the response of zebrafish to a robotic fish of varying size, color pattern, tail beat frequency, and acoustic signature in a canonical preference test. In this dichotomous experimental protocol, focal fish residing in(More)
In this work, we develop a novel gait phase detection algorithm based on a hidden Markov model, which uses data from foot-mounted single-axis gyroscopes as input. We explore whether the proposed gait detection algorithm can generate equivalent results as a reference signal provided by force sensitive resistors (FSRs) for typically developing children (TD)(More)
Social organisms at every level of evolutionary complexity live in groups, such as fish schools, locust swarms, and bird flocks. The complex exchange of multifaceted information across group members may result in a spectrum of salient spatiotemporal patterns characterizing collective behaviors. While instances of collective behavior in animal groups are(More)
We posit a new geometric perspective to define, detect, and classify inherent patterns of collective behaviour across a variety of animal species. We show that machine learning techniques, and specifically the isometric mapping algorithm, allow the identification and interpretation of different types of collective behaviour in five social animal species.(More)