AIMC Topic: Behavior, Animal

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A realistic fish-habitat dataset to evaluate algorithms for underwater visual analysis.

Scientific reports Sep 4, 2020
Visual analysis of complex fish habitats is an important step towards sustainable fisheries for human consumption and environmental protection. Deep Learning methods have shown great promise for scene analysis when trained on large-scale datasets. Ho...
Animals Ecosystem Deep Learning Fisheries Australia Ecological Parameter Monitoring Fishes Behavior, Animal
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Detachment of the remora suckerfish disc: kinematics and a bio-inspired robotic model.

Bioinspiration & biomimetics Aug 21, 2020
Remora suckerfish can attach to a wide diversity of marine hosts, however, their detachment mechanism remains poorly understood. Through analyzing high-speed videos, we found that the detachment of the live remora (Echeneis naucrates) is a rapid beha...
Animals Robotics Perciformes Computer Simulation Biomechanical Phenomena Ascomycota Hydrodynamics Friction Adhesives Stress, Mechanical Suction Behavior, Animal Fishes Biomimetics Surface Properties
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Analysis of Behavior Trajectory Based on Deep Learning in Ammonia Environment for Fish.

Sensors (Basel, Switzerland) Aug 8, 2020
Ammonia can be produced by the respiration and excretion of fish during the farming process, which can affect the life of fish. In this paper, to research the behavior of fish under different ammonia concentration and make the corresponding judgment ...
Ammonia Behavior, Animal Aquaculture Fishes Animals Respiration Deep Learning
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Experimentally revealed stochastic preferences for multicomponent choice options.

Journal of experimental psychology. Animal learning and cognition Jul 27, 2020
Realistic, everyday rewards contain multiple components. An apple has taste and size. However, we choose in single dimensions, simply preferring some apples to others. How can such single-dimensional preference relationships refer to multicomponent c...
Psychophysics Humans Magnetic Resonance Imaging Reward Economics, Behavioral Adult Macaca mulatta Species Specificity Machine Learning Animals Choice Behavior Behavior, Animal Male Female Young Adult
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Challenges of machine learning model validation using correlated behaviour data: Evaluation of cross-validation strategies and accuracy measures.

PloS one Jul 20, 2020
Automated monitoring of the movements and behaviour of animals is a valuable research tool. Recently, machine learning tools were applied to many species to classify units of behaviour. For the monitoring of wild species, collecting enough data for t...
Behavior, Animal Male Machine Learning Models, Statistical Female Dogs Animals
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The acoustic near-field measurement of aye-ayes' biological auditory system utilizing a biomimetic robotic tap-scanning.

Bioinspiration & biomimetics Jul 7, 2020
The aye-aye (Daubentonia madagascariensis) is best known for its unique acoustic-based foraging behavior called 'tap-scanning' or 'percussive foraging'. The tap-scanning is a unique behavior allowing aye-aye to locate small cavities beneath tree bark...
Feeding Behavior Behavior, Animal Strepsirhini Robotics Acoustics Biomimetics Animals Larva
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SBOR: a minimalistic soft self-burrowing-out robot inspired by razor clams.

Bioinspiration & biomimetics Jul 7, 2020
We observe that the Atlantic razor clam (Ensis directus) burrows out of sand rapidly by simply extending and contracting its muscular foot. This is notably different from its well-known downward burrowing strategy or the dual-anchor mechanism, where ...
Biomimetics Behavior, Animal Locomotion Robotics Bivalvia Motion Friction Soil Biomechanical Phenomena Animals
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Real-Time Selective Markerless Tracking of Forepaws of Head Fixed Mice Using Deep Neural Networks.

eNeuro Jun 15, 2020
Here, we describe a system capable of tracking specific mouse paw movements at high frame rates (70.17 Hz) with a high level of accuracy (mean=0.95, SD<0.01). Short-latency markerless tracking of specific body parts opens up the possibility of manipu...
Movement Animals Neural Networks, Computer Mice Software Behavior, Animal
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Automated detection of the head-twitch response using wavelet scalograms and a deep convolutional neural network.

Scientific reports May 20, 2020
Hallucinogens induce the head-twitch response (HTR), a rapid reciprocal head movement, in mice. Although head twitches are usually identified by direct observation, they can also be assessed using a head-mounted magnet and a magnetometer. Procedures ...
Head Movements Behavior Observation Techniques Magnetometry Models, Animal Animals Reproducibility of Results Support Vector Machine Magnets Male Sensitivity and Specificity Drug Evaluation, Preclinical Mice Behavior, Animal Hallucinogens
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Strategies to modulate zebrafish collective dynamics with a closed-loop biomimetic robotic system.

Bioinspiration & biomimetics May 19, 2020
The objective of this study is to integrate biomimetic robots into small groups of zebrafish and to modulate their collective behaviours. A possible approach is to have the robots behave like sheepdogs. In this case, the robots would behave like a di...
Models, Biological Zebrafish Biomimetic Materials Behavior, Animal Social Behavior Animals Robotics Equipment Design
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