Titlebook: Brain Informatics and Health; International Confer Giorgio A. Ascoli,Michael Hawrylycz,Yong Shi Conference proceedings 2016 Springer Intern

技术

Robust Neuron Counting Based on Fusion of Shape Map and Multi-cue Learningbecoming a norm and will be more so in the future. In this paper, we present an automatic learning-based method for effective detection and counting of neurons with stained nuclei. A shape map that reflects the boosted edge and shape information is generated and a learning problem is formulated to d

Frequency

Identification of Relevant Inter-channel EEG Connectivity Patterns: A Kernel-Based Supervised Approaon-invasive applications like brain-computer-interface systems or diagnosis of neurodegenerative diseases. However, most of the state-of-the-art methodologies use observations derived from each electrode independently, without considering the possible dependencies between channels. To improve unders

GLUE

gene-therapy

An Automatic Neuron Tracing Method Based on Mean Shift and Minimum Spanning Treehe BigNeuron project bench testing was launched to gather a worldwide community to establish a Big Data resource and a set of the state-of-the-art of single neuron reconstruction algorithms for neuroscience community. As one of the communities, we contribute a Mean shift and Minimum Spanning Tree (M

declamation

Graph Theoretic Compressive Sensing Approach for Classification of Global Neurophysiological States g high-resolution electroencephalography (EEG) recordings. Acute stress induction (and control procedures) were used to elicit distinct states of neurophysiological arousal. We recorded EEG signals (128 channels) from 50 participants under two different states: hand immersion in room temperature wat

OGLE

Fast Marching Spanning Tree: An Automatic Neuron Reconstruction Methodobust result, especially when a 3D microscopic image has low single-to-noise ratio. In this paper we propose a neuron reconstruction algorithm called fast marching spanning tree (FMST), which is based on minimum spanning tree method (MST) and can improve the performance of MST. The contributions of

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怪物

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多样

Research About Alpha EEG Asymmetry and Self-consciousness in Depressionngthened negative activities in the right side of the brain, especially the information related to self-concept. However, it is absent of direct evidence to support the relationship between the alpha EEG asymmetry and self-concept, and it is not clear what the variation of the correlation between th