Data-Driven Computational Neuroscience最新文献

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Computational Neuroscience 计算神经科学
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.1017/9781108642989.003
B. Kappen
{"title":"Computational Neuroscience","authors":"B. Kappen","doi":"10.1017/9781108642989.003","DOIUrl":"https://doi.org/10.1017/9781108642989.003","url":null,"abstract":"2 Neural information processing is noisy 6 2.1 Poisson Processes . . . . . . . . . . . . . . . . . . . . . . . . . . 6 2.1.1 Interval distribution . . . . . . . . . . . . . . . . . . . . . 10 2.1.2 Integration reduces CV . . . . . . . . . . . . . . . . . . . 12 2.1.3 Refractoriness . . . . . . . . . . . . . . . . . . . . . . . 12 2.2 ISI distributions . . . . . . . . . . . . . . . . . . . . . . . . . . . 13 2.3 First passage times . . . . . . . . . . . . . . . . . . . . . . . . . 15 2.3.1 Diffusion . . . . . . . . . . . . . . . . . . . . . . . . . . 17 2.3.2 First passage time distribution . . . . . . . . . . . . . . . 17 2.3.3 Laplace transformation . . . . . . . . . . . . . . . . . . . 18 2.3.4 Scale invariance . . . . . . . . . . . . . . . . . . . . . . 20 2.3.5 Approximate scale invariance. . . . . . . . . . . . . . . . 20 2.4 Integrate and Fire Neuron . . . . . . . . . . . . . . . . . . . . . . 23 2.5 Summary . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 25 2.6 Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121431881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Multidimensional Classifiers 多维分类器
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.1017/9781108642989.014
{"title":"Multidimensional Classifiers","authors":"","doi":"10.1017/9781108642989.014","DOIUrl":"https://doi.org/10.1017/9781108642989.014","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"83 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122997993","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Metaclassifiers Metaclassifiers
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.1017/9781108642989.013
{"title":"Metaclassifiers","authors":"","doi":"10.1017/9781108642989.013","DOIUrl":"https://doi.org/10.1017/9781108642989.013","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"67 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124176595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Spatial Statistics 空间统计
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.4135/9780857024442.d53
M. V. Lieshout
{"title":"Spatial Statistics","authors":"M. V. Lieshout","doi":"10.4135/9780857024442.d53","DOIUrl":"https://doi.org/10.4135/9780857024442.d53","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126542476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Probabilistic Clustering 概率聚类
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.1017/9781108642989.017
{"title":"Probabilistic Clustering","authors":"","doi":"10.1017/9781108642989.017","DOIUrl":"https://doi.org/10.1017/9781108642989.017","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130368046","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 2
Probabilistic Classifiers 概率分类器
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.1017/9781108642989.012
I. Rish
{"title":"Probabilistic Classifiers","authors":"I. Rish","doi":"10.1017/9781108642989.012","DOIUrl":"https://doi.org/10.1017/9781108642989.012","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115118675","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probabilistic Inference 概率推理
Data-Driven Computational Neuroscience Pub Date : 2020-11-30 DOI: 10.1017/9781108642989.007
{"title":"Probabilistic Inference","authors":"","doi":"10.1017/9781108642989.007","DOIUrl":"https://doi.org/10.1017/9781108642989.007","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114669954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 7
Probability Theory and Random Variables 概率论与随机变量
Data-Driven Computational Neuroscience Pub Date : 2020-11-01 DOI: 10.1017/9781108642989.006
C. Bielza, P. Larrañaga
{"title":"Probability Theory and Random Variables","authors":"C. Bielza, P. Larrañaga","doi":"10.1017/9781108642989.006","DOIUrl":"https://doi.org/10.1017/9781108642989.006","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127243159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Unsupervised Classification 非监督分类
Data-Driven Computational Neuroscience Pub Date : 2018-10-03 DOI: 10.1201/b21969-9
S. A. Nelson, S. Khorram
{"title":"Unsupervised Classification","authors":"S. A. Nelson, S. Khorram","doi":"10.1201/b21969-9","DOIUrl":"https://doi.org/10.1201/b21969-9","url":null,"abstract":"","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121283748","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Probabilistic Graphical Models 概率图形模型
Data-Driven Computational Neuroscience Pub Date : 2009-07-31 DOI: 10.1017/9781108642989.018
D. Koller, N. Friedman
{"title":"Probabilistic Graphical Models","authors":"D. Koller, N. Friedman","doi":"10.1017/9781108642989.018","DOIUrl":"https://doi.org/10.1017/9781108642989.018","url":null,"abstract":"Probabilistic graphical models provide a flexible framework for modeling large, complex, heterogeneous collections of random variables. Graphs are used to decompose multivariate, joint distributions into a set of local interactions among small subsets of variables. These local relationships produce conditional independencies which lead to efficient learning and inference algorithms. Moreover, their modular structure provides an intuitive language for expressing domain-specific knowledge, and facilitates the transfer of modeling advances to new applications. After a brief introduction to their representational power, this course will provide a comprehensive survey of state-of-the-art methods for statistical learning and inference in graphical models. Our primary focus will be variational methods, which adapt tools from optimization theory to develop efficient, possibly approximate, inference algorithms. We will also discuss a complementary family of Monte Carlo methods, based on stochastic simulation. Many course readings will be drawn from the draft textbook An Introduction to Probabilistic Graphical Models, in preparation by Michael Jordan. Advanced topics will be supported by tutorial and survey articles, and illustrated with state-of-the-art research results and applications. Overall grades will be assigned based on homework assignments combining statistical analysis and implementation of learning algorithms, as well as a final research project involving probabilistic graphical models. Students who took CSCI 2950-P in the Fall of 2011 may repeat for credit, as the topic has changed.","PeriodicalId":166530,"journal":{"name":"Data-Driven Computational Neuroscience","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2009-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125723849","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 50
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