Daniele Neri

Google (United States), New York University

Papers

Total Citations

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About

Daniele Neri is a researcher at the intersection of ethology, robotics, and information theory, whose work explores the dynamics of animal behavior through innovative experimental design. His primary research areas include the use of biologically-inspired robots to study social and predator-prey interactions, with a particular focus on zebrafish as a model organism. Neri’s major contributions involve developing robotic replicas to elicit and measure behavioral responses in zebrafish, offering a controlled alternative to live stimuli that can introduce variability. His most-cited paper, "Zebrafish response to a robotic replica in three dimensions" (2016, 47 citations), demonstrates how robotic tools can standardize behavioral assays, advancing the study of social behavior. In "Information theory and robotics meet to study predator-prey interactions" (2017, 21 citations), Neri applies transfer entropy to uncover causal relationships in animal interactions, bridging robotics and theoretical frameworks. Though his work on live predator versus robot responses (2017, 2 citations) is less cited, it underscores his commitment to refining experimental paradigms. Neri’s research has significant implications for understanding fear, anxiety, and social dynamics, positioning him as a key contributor to the emerging field of robobiology.