منابع مشابه
Neuron tracing in perspective.
The study of the structure and function of neuronal cells and networks is of crucial importance in the endeavor to understand how the brain works. A key component in this process is the extraction of neuronal morphology from microscopic imaging data. In the past four decades, many computational methods and tools have been developed for digital reconstruction of neurons from images, with limited...
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The purpose of the study was to investigate the effect of mediation on the development of a novice teacher and in turn the effect of transformation of the teacher on the behaviors and emotions of the learners using Vygotskian sociocultural view of learning. For this purpose, a novice teacher teaching the general English course at an Iranian university was selected. To develop an understanding o...
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As new areas of neural computing are trying to make at least one step beyond the definition of digital computing, the neural networks field, was developed around the idea of creating models of real neural systems. The key point is based on learning rather than programming. We designed the model we present in this paper, based on the the needs introduced by new trends in neural computing. We cre...
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MOTIVATION Digital reconstruction, or tracing, of 3D neuron structures is critical toward reverse engineering the wiring and functions of a brain. However, despite a number of existing studies, this task is still challenging, especially when a 3D microscopic image has low signal-to-noise ratio (SNR) and fragmented neuron segments. Published work can handle these hard situations only by introduc...
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Automated neuron tracing from microscopic images enables high-throughput quantitative analysis of neuronal morphology to elucidate functions of neural circuits. We have developed a transfer-learning approach that trains a deep convolutional neural network to trace neurons in 3D image stacks. Our neural network model consists of two major components. One is responsible for detecting foreground, ...
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ژورنال
عنوان ژورنال: Cytometry Part A
سال: 2010
ISSN: 1552-4922,1552-4930
DOI: 10.1002/cyto.a.20895