AIMC Topic: Zebrafish
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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...
EnvCNN: A Convolutional Neural Network Model for Evaluating Isotopic Envelopes in Top-Down Mass-Spectral Deconvolution.
Analytical chemistry
May 13, 2020
Top-down mass spectrometry has become the main method for intact proteoform identification, characterization, and quantitation. Because of the complexity of top-down mass spectrometry data, spectral deconvolution is an indispensable step in spectral ...
Topological data analysis of zebrafish patterns.
Proceedings of the National Academy of Sciences of the United States of America
Feb 25, 2020
Self-organized pattern behavior is ubiquitous throughout nature, from fish schooling to collective cell dynamics during organism development. Qualitatively these patterns display impressive consistency, yet variability inevitably exists within patter...
Deep learning enables automated volumetric assessments of cardiac function in zebrafish.
Disease models & mechanisms
Oct 25, 2019
Although the zebrafish embryo is a powerful animal model of human heart failure, the methods routinely employed to monitor cardiac function produce rough approximations that are susceptible to bias and inaccuracies. We developed and validated a deep ...
Design and development of a robotic predator as a stimulus in conditioned place aversion for the study of the effect of ethanol and citalopram in zebrafish.
Behavioural brain research
Oct 12, 2019
Zebrafish are becoming a species of choice in psychopharmacology, laying a promising path to refined pharmacological manipulations and high-throughput behavioral phenotyping. The field of robotics has the potential to accelerate progress along this p...
Deep attention networks reveal the rules of collective motion in zebrafish.
PLoS computational biology
Sep 13, 2019
A variety of simple models has been proposed to understand the collective motion of animals. These models can be insightful but may lack important elements necessary to predict the motion of each individual in the collective. Adding more detail incre...
nanite: using machine learning to assess the quality of atomic force microscopy-enabled nano-indentation data.
BMC bioinformatics
Sep 10, 2019
BACKGROUND: Atomic force microscopy (AFM) allows the mechanical characterization of single cells and live tissue by quantifying force-distance (FD) data in nano-indentation experiments. One of the main problems when dealing with biological tissue is ...
Convolutional neural networks for reconstruction of undersampled optical projection tomography data applied to in vivo imaging of zebrafish.
Journal of biophotonics
Aug 29, 2019
Optical projection tomography (OPT) is a 3D mesoscopic imaging modality that can utilize absorption or fluorescence contrast. 3D images can be rapidly reconstructed from tomographic data sets sampled with sufficient numbers of projection angles using...
Bidirectional interactions facilitate the integration of a robot into a shoal of zebrafish Danio rerio.
PloS one
Aug 20, 2019
Many studies on collective animal behavior seek to identify the individual rules that underlie collective patterns. However, it was not until the recent advancements of micro-electronic and embedded systems that scientists were able to create mixed g...
Convergent Temperature Representations in Artificial and Biological Neural Networks.
Neuron
Jul 31, 2019
Discoveries in biological neural networks (BNNs) shaped artificial neural networks (ANNs) and computational parallels between ANNs and BNNs have recently been discovered. However, it is unclear to what extent discoveries in ANNs can give insight into...
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