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Quantifying the biomimicry gap in biohybrid robot-fish pairs
Biohybrid systems in which robotic lures interact with animals have become compelling tools for probing and identifying the mechanisms underlying collective animal behavior.
Data-driven discovery of stochastic dynamical equations of collective motion
We consider k = 1 (called stochastic pairwise interactions), k = 2 (stochastic ternary interactions), and k equalling all available neighbours within the interaction radius (equivalent to Vicsek-like local averaging).
Predicting the long-term collective behaviour of fish pairs with deep learning
Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social interactions in the fish species Hemigrammus rhodostomus.
AI without networks
The role of the networks is less transparent due to the obscure dependence of the network parameters and outputs on the training data and inputs.
