AIMC Topic: Drosophila

Clear Filters Showing 21 to 30 of 56 articles

Predicting individual neuron responses with anatomically constrained task optimization.

Current biology : CB Jul 28, 2021
Artificial neural networks trained to solve sensory tasks can develop statistical representations that match those in biological circuits. However, it remains unclear whether they can reproduce properties of individual neurons. Here, we investigated ...
Animals Neurons Movement Drosophila Neural Networks, Computer
View on PubMed DOI

FlyIT: Drosophila Embryogenesis Image Annotation based on Image Tiling and Convolutional Neural Networks.

IEEE/ACM transactions on computational biology and bioinformatics Feb 3, 2021
With the rise of image-based transcriptomics, spatial gene expression data has become increasingly important for understanding gene regulations from the tissue level down to the cell level. Especially, the gene expression images of Drosophila embryos...
Computational Biology Embryonic Development Embryo, Nonmammalian Neural Networks, Computer Algorithms Data Curation Animals Drosophila Image Processing, Computer-Assisted
View on PubMed DOI

Quantifying influence of human choice on the automated detection of Drosophila behavior by a supervised machine learning algorithm.

PloS one Dec 16, 2020
Automated quantification of behavior is increasingly prevalent in neuroscience research. Human judgments can influence machine-learning-based behavior classification at multiple steps in the process, for both supervised and unsupervised approaches. S...
Animals Male Humans Data Interpretation, Statistical Social Behavior Supervised Machine Learning Observer Variation Research Design Choice Behavior Sex Factors Female Behavior Observation Techniques Video Recording Research Personnel Drosophila
View on PubMed DOI

Intelligent image-based deformation-assisted cell sorting with molecular specificity.

Nature methods May 25, 2020
Although label-free cell sorting is desirable for providing pristine cells for further analysis or use, current approaches lack molecular specificity and speed. Here, we combine real-time fluorescence and deformability cytometry with sorting based on...
Neural Networks, Computer Animals Cell Proliferation Neutrophils Humans HL-60 Cells Cell Culture Techniques Sound Drosophila Microfluidics Erythrocytes Cell Line Myeloid Cells Cell Size Cell Survival Erythrocyte Deformability Flow Cytometry
View on PubMed DOI

Decentralized control of insect walking: A simple neural network explains a wide range of behavioral and neurophysiological results.

PLoS computational biology Apr 27, 2020
Controlling the six legs of an insect walking in an unpredictable environment is a challenging task, as many degrees of freedom have to be coordinated. Solutions proposed to deal with this task are usually based on the highly influential concept that...
Behavior, Animal Drosophila Nervous System Physiological Phenomena Neural Networks, Computer Models, Biological Robotics Animals Insecta Walking Computational Biology
View on PubMed DOI

Fully Automated Leg Tracking in Freely Moving Insects using Feature Learning Leg Segmentation and Tracking (FLLIT).

Journal of visualized experiments : JoVE Apr 23, 2020
The Drosophila model has been invaluable for the study of neurological function and for understanding the molecular and cellular mechanisms that underlie neurodegeneration. While fly techniques for the manipulation and study of neuronal subsets have ...
Automation Gait Analysis Movement Machine Learning Animals Video Recording Extremities Drosophila
View on PubMed DOI

Deep learning for automated detection of Drosophila suzukii: potential for UAV-based monitoring.

Pest management science Apr 20, 2020
BACKGROUND: The fruit fly Drosophila suzukii, or spotted wing drosophila (SWD), is a serious pest worldwide, attacking many soft-skinned fruits. An efficient monitoring system that identifies and counts SWD in crops and their surroundings is therefor...
Male Deep Learning Fruit Crops, Agricultural Drosophila Insect Control Humans Female Animals
View on PubMed DOI

Predicting gene regulatory interactions based on spatial gene expression data and deep learning.

PLoS computational biology Sep 17, 2019
Reverse engineering of gene regulatory networks (GRNs) is a central task in systems biology. Most of the existing methods for GRN inference rely on gene co-expression analysis or TF-target binding information, where the determination of co-expression...
Gene Expression Profiling Databases, Genetic Deep Learning Animals Gene Regulatory Networks Drosophila Computational Biology Eye
View on PubMed DOI

DeTerm: Software for automatic detection of neuronal dendritic branch terminals via an artificial neural network.

Genes to cells : devoted to molecular & cellular mechanisms May 28, 2019
Dendrites of neurons receive and process synaptic or sensory inputs. The Drosophila class IV dendritic arborization (da) neuron is an established model system to explore molecular mechanisms of dendrite morphogenesis. The total number of dendritic br...
Drosophila Proteins Mice Dendrites Neural Networks, Computer Neurogenesis Purkinje Cells Software Drosophila Animals Neurons Larva Cerebellum
View on PubMed DOI

A neural data structure for novelty detection.

Proceedings of the National Academy of Sciences of the United States of America Dec 3, 2018
Novelty detection is a fundamental biological problem that organisms must solve to determine whether a given stimulus departs from those previously experienced. In computer science, this problem is solved efficiently using a data structure called a B...
Drosophila Olfactory Pathways Models, Biological Odorants Neural Networks, Computer Algorithms Nerve Net Animals
View on PubMed DOI
Popular Topics
Recent Journals