Themes:
Visualising honeybee brain activity in real time by semantic segmentation
Visualising honeybee brain activity in real time by semantic segmentation
This is a software solution for processing recordings of honeybee brain activity in real time. It employs an adaptive algorithm for image processing, along with a fast implementation for the graphics processing unit that enables semantic segmentation in real time. Semantics is based on the temporal dimension, relying on the fact that time series of pixels within a glomerulus are correlated.
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| Technology: | Java, OpenGL |
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Project development
Institution:
Interdisciplinary Center for Interactive Data Analysis, Modelling and Visual Exploration (INCIDE) and Neurobiology, University of Konstanz, Germany
This work has been carried out within the PhysioIllustration research project (# 218023), which is funded by the Norwegian Research Council.
Last updated on 12th September, 2014
