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Sanghera, B.

Publications and source records attributed to Sanghera, B..

2 recordsLinked to original sources

Adult Zebrafish Engage in Path Integration-like Behavior When Exploring a Novel Environment

Spatial navigation relies on the integration of self-motion (idiothetic) and external (allothetic) cues to construct an internal representation of space. While path integration has been extensively studied in insects and mammals, its presence and mechanistic basis in non-mammalian vertebrates remain poorly understood. Here, we show that adult zebrafish (Danio rerio) placed in a novel, visually impoverished environment exhibit systematic reorganization of exploratory behavior consistent with path integration-like navigation. Using markerless tracking, we identified a sequence of stereotyped bouts initiated by wall contact that consists of subsequent reorientations followed by a corrective sharp turn, returning the animal toward its initial contact location. Markov chain analyses reveal structured transitions linking wall-touch events, reorientation states, and high-curvature turns early in exploration, followed by a progressive decoupling of turning from boundary contact over time. Angular error-correction analyses demonstrate that cumulative reorientation predicts the magnitude and direction of subsequent sharp turns, consistent with vector-based error compensation. Multivariate analyses further show a graded shift in behavioral state space from early to late exploration, rather than an abrupt strategy switch. Together, these results provide evidence that zebrafish employ a go-and-touch strategy that integrates tactile boundary information with self-motion cues to estimate spatial layout. Our findings establish zebrafish as a vertebrate model for studying the computational and neurogenetic basis of path integration that develops by the fifth week post-fertilization.

animal behavior and cognition↗

Pose analysis in free-swimming adult zebrafish, Danio rerio:"fishy" origins of movement design

Movement requires maneuvers that generate thrust to either make turns or move the body forward in physical space. The computational space for perpetually controlling the relative position of every point on the body surface can be vast. We hypothesize the evolution of efficient design for movement that minimizes active (neural) control by leveraging the passive (reactive) forces between the body and the surrounding medium at play. To test our hypothesis, we investigate the presence of stereotypical postures during free-swimming in adult zebrafish, Danio rerio. We perform markerless tracking using DeepLabCut, a deep learning pose estimation toolkit, to track geometric relationships between body parts. To identify putative clusters of postural configurations obtained from twelve freely behaving zebrafish, we use unsupervised multivariate time-series analysis (B-SOiD machine learning software). When applied to single individuals, this method reveals a best-fit for 36 to 50 clusters in contrast 86 clusters for data pooled from all 12 animals. The centroids of each cluster obtained over 14,000 sequential frames recorded for a single fish represent an apriori classification into relatively stable "target body postures" and inter-pose "transitional postures" that lead to and away from a target pose. We use multidimensional scaling of mean parameter values for each cluster to map cluster-centroids within two dimensions of postural space. From a post-priori visual analysis, we condense neighboring postural variants into 15 superclusters or core body configurations. We develop a nomenclature specifying the anteroposterior level/s (upper, mid and lower) and degree of bending. Our results suggest that constraining bends to mainly three levels in adult zebrafish preempts the neck, fore- and hindlimb design for maneuverability in land vertebrates.

animal behavior and cognition↗