Title
High Dimensional Ensemble Neuronal Activity Pattern Analysis: Visualization and Wave Detection Focused
Abstract
Neuron activities are the source of behavior in living beings and understanding the neuron circuitry has been one of the most interesting areas of neuroscience in the recent past. As a part of it, analyzing the spatiotemporal synchronized neuronal ensemble consecutive firings, such as the calcium ion waves in vivo, will shed light on the underlying mystery of neuronal ensembles. However, manual analysis of waves is prone to human error due to the complex high dimension of images, and may also be limited by the subjective observation of the neuroscientist. Subsequently, to date there has been limited progress in high dimensional ensemble neuronal waves analysis computationally or manually despite the fast growing of the imaging techniques. Here we present a novel way of employing 3D and 4D image wave detection methods to analyze the neuronal ensemble waves in the entire Drosophila M. Larval Ventral Nerve Cord (VNC). We focus on the computational methods that reduce the high dimension of the data and extract the wave information from non-wave firings.
Year
DOI
Venue
2017
10.1145/3107411.3108209
BCB
Keywords
Field
DocType
High-dimensional neuronal activity,Wave,Drosophila Larva,Ventral Nerve Cord,Dimensionality Reduction,Calcium Imaging
Dimensionality reduction,Premovement neuronal activity,Pattern recognition,Computer science,Visualization,Pattern analysis,Subjective observation,Calcium imaging,Artificial intelligence,Neuroscientist,Machine learning
Conference
ISBN
Citations 
PageRank 
978-1-4503-4722-8
0
0.34
References 
Authors
0
5
Name
Order
Citations
PageRank
Varshini Guddanti100.34
Shawn Horvatic220.73
Jie Zhou313910.45
Yujia Hu400.34
Bing Ye520.79