Title :
Connectivity and path analysis for neuron network in the Drosophila brain
Author :
Ching-Yao Lin ; Kuen-Long Tsai ; Chang-Huain Hsieh ; Hsiu-Ming Chang ; Chiang, Ann-Shyn
Author_Institution :
Nat. Center for High-performance Comput., Hsinchu, Taiwan
Abstract :
The advances in microscopic imaging technology have created great amount of unprecedentedly clear images of neurons. How to extract useful information from this massive data has created another challenge for neuroscientists. The connectivity relationships among these neurons provide critical clues for understanding how the information is transmitted in the brain. In this paper, we analyze the neurons in the Drosophila brain, find the possible connecting path, and furthermore, perform cluster analysis from the connectivity information of thousands of tangled neurons.
Keywords :
biological techniques; neural nets; neurophysiology; pattern clustering; zoology; Drosophila brain; cluster analysis; connecting path; connectivity relationships; microscopic imaging technology; neuron images; neuron network; path analysis; tangled neurons; Artificial neural networks; Clustering algorithms; Data visualization; Image databases; Neurons; Three-dimensional displays; 3D Image Database; connectivity analysis; neural image visualization; neuroscience; path search;
Conference_Titel :
Bioinformatics and Biomedicine (BIBM), 2013 IEEE International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/BIBM.2013.6732543