A5055699975- Neural dynamics and brain function
- Image Processing Techniques and Applications
- Cell Image Analysis Techniques
- Zebrafish Biomedical Research Applications
- Genetics, Bioinformatics, and Biomedical Research
- Photoreceptor and optogenetics research
- Retinal Development and Disorders
- Neural Networks and Applications
- Fish biology, ecology, and behavior
- Digital Imaging for Blood Diseases
- Advanced Fluorescence Microscopy Techniques
Zuse Institute Berlin
2021-2025
Accumulating information is a critical component of most circuit computations in the brain across species, yet its precise implementation at synaptic level remains poorly understood. Dissecting such neural circuits vertebrates requires knowledge functional properties and ability to directly correlate dynamics with underlying wiring diagram same animal. Here we combine calcium imaging ultrastructural reconstruction, using visual motion accumulation paradigm larval zebrafish. Using connectomic...
One of the fundamental problems in neurobiological research is to understand how neural circuits generate behaviors response sensory stimuli. Elucidating such requires anatomical and functional information about neurons that are active during processing generation respective response, as well an identification connections between these neurons. With modern imaging techniques, both morphological properties individual related processing, integration behavior can be obtained. Given resulting...
Image segmentation still represents an active area of research since no universal solution can be identified. Traditional image algorithms are problem-specific and limited in scope. On the other hand, machine learning offers alternative paradigm where predefined features combined into different classifiers, providing pixel-level classification segmentation. However, only not address question as to which appropriate for a certain problem. The article presents automated platform, called Active...
Abstract Studying neural mechanisms in complementary model organisms from different ecological niches the same animal class can leverage comparative brain analysis at cellular level. To advance such a direction, we developed unified atlas platform and specialized tools that allowed us to quantitatively compare structures two teleost larvae, medaka ( Oryzias latipes ) zebrafish Danio rerio ). Leveraging this quantitative approach found most regions are similar but some subpopulations unique...
Image segmentation is an active area of research for more than 30 years. Traditional image algorithms are problem-specific and limited in scope. On the other hand, machine learning offers alternative paradigm where predefined features combined into different classifiers, providing pixel-level classification segmentation. However, only can not address question as to which appropriate a certain problem. This paper presents project supported part by International Neuroinformatics Coordination...