From Paths to Routes: A Method for Path Classification

Gonsek, Andrea; Jeschke, Manon; Rönnau, Silvia; Bertrand, O.

doi:10.3389/fnbeh.2020.610560

Cited by 5 publications

(4 citation statements)

References 40 publications

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“…We continued the characterization of this novel system's behavior by testing the sequences of its various discrete behaviors and their transition probabilities [53][54][55] : is there a pattern describing how the individual behaviors extracted from trajectory domains follow each other during a bot's lifetime? In order to investigate the stability of each trajectory, we used a Markov chain to concatenate the successive periods of a given trajectory and thus reconstruct each bot's path.…”

Section: Resultsmentioning

confidence: 99%

Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells

Gumuskaya

Srivastava

Cooper

et al. 2022

Preprint

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Fundamental knowledge gaps exist with respect to the plasticity of cells from adult soma and the potential diversity of body shape and behavior in living constructs derived from such genetically wild-type cells. Here we introduce Anthrobots, a spheroid-shaped multicellular biological robot platform with diameters ranging from 30 to 500 microns. Anthrobots have an inherent capacity for motility in aqueous environments, via cilia covering their surface. Each Anthrobot starts out as a single cell, derived from the adult human lung, and self-construct into a multicellular motile biological machine after having been cultured in extra cellular matrix for 2 weeks, followed by a transfer into a minimally viscous and adhesive habitat. Anthrobots exhibit a wide range of behaviors with motility patterns ranging from tight loops to straight lines with speeds ranging from 5-50 microns/second. Our anatomical investigations reveal that this diversity in their movement types is significantly correlated with their diversity in morphological types. Anthrobots can assume diverse morphologies from fully polarized to wholly ciliated bodies with spherical or ellipsoidal shapes, each correlating with a distinct movement type. Anthrobots were found to be able to traverse live human tissues in various ways as a function of these different movement types. Remarkably, Anthrobots are shown to be able to induce rapid repair of wounds in human neural cell sheets in vitro. By controlling microenvironmental cues, entirely novel structure, behavior, and biomedically-relevant capabilities can be discovered in morphogenetic processes not requiring direct genetic manipulation.

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Section: Resultsmentioning

confidence: 99%

Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells

Gumuskaya

Srivastava

Cooper

et al. 2022

Preprint

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show abstract

“…To do this, we returned to the individual movement trajectories (Figure 5). Rather than visually grouping the different paths based on our own subjective assessment, which could lead to unintentional biases (Gonsek, Jeschke, Rönnau, & Bertrand, 2021), we based our approach on a growing body of animal movement studies which has generated promising methods and metrics to differentiate movement trajectories (Cleasby et al, 2019; for review see Joo et al, 2020).…”

Section: Combining Movement Aspects To Find Shared Patterns For Engag...mentioning

confidence: 99%

How Do We Move in Front of Art? How Does This Relate to Art Experience? Linking Movement, Eye Tracking, Emotion, and Evaluations in a Gallery-Like Setting

Kühnapfel

Fingerhut

Brinkman

et al. 2023

Empirical Studies of the Arts

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Embodied cognition claims that how we move our body is central for experience. Exploring dimensions of bodily engagement should, therefore, also be central for engaging art. However, little attention has been paid to the actual ways viewers move in front of art and how this impacts experiences. We aim to close this gap, using a new paradigm in a gallery-like setting in which we tracked movements of participants that engaged an abstract artwork. Guided by a literature review, we relate objective movement factors and subjective body awareness to mobile viewing behavior, art experience, and expertise. We also—for the first time—define shared movement patterns employing principal component/cluster analysis and relate these to experience outcomes, noting, for example, that moving more/more dynamically related to more reported insight. As a proof-of-concept paper, we hope to support a more embodied, enactive understanding of art engagements, and provide practical guidelines for future research.

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“…In insect' visual system, multiple specialized neural circuits extract various cues simultaneously from complex natural environment, such as color [58], depth information [59], and motion trajectories [60]. However, the contribution of these visual cues to motion detection and their circuit implementation are still unclear.…”

Section: E Evaluation On Synthetic and Real-world Data Setsmentioning

confidence: 99%

Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets

Wang¹,

Zhao²,

Wang³

et al. 2023

IEEE Trans. Cybern.

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Small target motion detection within complex natural environments is an extremely challenging task for autonomous robots. Surprisingly, the visual systems of insects have evolved to be highly efficient in detecting mates and tracking prey, even though targets occupy as small as a few degrees of their visual fields. The excellent sensitivity to small target motion relies on a class of specialized neurons called small target motion detectors (STMDs). However, existing STMD-based models are heavily dependent on visual contrast and perform poorly in complex natural environments where small targets generally exhibit extremely low contrast against neighbouring backgrounds. In this paper, we develop an attention and prediction guided visual system to overcome this limitation. The developed visual system comprises three main subsystems, namely, an attention module, an STMD-based neural network, and a prediction module. The attention module searches for potential small targets in the predicted areas of the input image and enhances their contrast against complex background. The STMD-based neural network receives the contrast-enhanced image and discriminates small moving targets from background false positives. The prediction module foresees future positions of the detected targets and generates a prediction map for the attention module. The three subsystems are connected in a recurrent architecture allowing information to be processed sequentially to activate specific areas for small target detection. Extensive experiments on synthetic and real-world datasets demonstrate the effectiveness and superiority of the proposed visual system for detecting small, low-contrast moving targets against complex natural environments.

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From Paths to Routes: A Method for Path Classification

Cited by 5 publications

References 40 publications

Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells

Motile Living Biobots Self-Construct from Adult Human Somatic Progenitor Seed Cells

How Do We Move in Front of Art? How Does This Relate to Art Experience? Linking Movement, Eye Tracking, Emotion, and Evaluations in a Gallery-Like Setting

Attention and Prediction-Guided Motion Detection for Low-Contrast Small Moving Targets

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