Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In arti
A deep learning framework for neuroscience 郑重声明:原文参见标题,如有侵权,请联系作者,将会撤销发布! 系统神经科学寻求有关大脑如何执行各种感知,认知和运动任务的解释。相反,AI试图根据必须解决的任务来设计计算系统。在ANN中,设计指定的三个组成部分是目标函数,学习规则和结构。随着利用脑启发性架构的深度学习取得越...
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Fig. 2. The deep learning classification framework of quantitative research methods. 2.3.1. Keyword selection Keywords are basic units of text analysis that distinguish semantic elements from each other. According to the principle of semantic space orthogonality, the exact keywords for each dimension ...
The findings above suggest that our model is built upon prior knowledge of dementia neuroscience. Therefore, it can offer more reliable predictions for computer-aided diagnosis. This study has some limitations. Firstly, despite utilizing data collected from various centers and devices, this study ...
which is important if we want to bridge between neuroscience and machine learning. Recent researches emphasized the biological plausibility of Linear-Nonlinear-Poisson (LNP) neuron model. We show that with neurally plausible settings, the whole network is capable of representing any Boltzmann machine ...
DARTS Deep-learning Augmented RNA-seq analysis of Transcript Splicing SpliceAI A deep learning-based tool to identify splice variants DEXSeq Detecting differential usage of exons from RNA-seq data MATS cash Comprehensive alternative splicing hunting tappas a comprehensive computational framework for the ana...
For both humans and machines, the essence of learning is to pinpoint which components in its information processing pipeline are responsible for an error in its output, a challenge that is known as ‘credit assignment’. It has long been assumed that cre
A. et al. A deep learning framework for neuroscience. Nat. Neurosci. 22, 1761–1770 (2019). Article CAS PubMed PubMed Central Google Scholar Storrs, K. R., & Kriegeskorte, N. Deep learning for cognitive neuroscience. arXiv preprint arXiv:1903.01458. (2019). Yang, G. R., Cole, M...
Systems neuroscience seeks explanations for how the brain implements a wide variety of perceptual, cognitive and motor tasks. Conversely, artificial intelligence attempts to design computational systems based on the tasks they will have to solve. In artificial neural networks, the three components ...