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杂物间 #23

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karanotsingyu opened this issue Aug 10, 2019 · 41 comments
Open

杂物间 #23

karanotsingyu opened this issue Aug 10, 2019 · 41 comments

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@karanotsingyu
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CCN 2019 • Home • 2019 Conference on Cognitive Computational Neuroscience | 13-16 September 2019 | Berlin, Germany

MSc Computational Cognitive Neuroscience | Goldsmiths, University of London
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karanotsingyu commented Aug 10, 2019 •
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吴思老师的链接挂掉了，先放在这里

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karanotsingyu commented Aug 20, 2019 •
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暂时默认不收录计算神经科学。神经科学的话先只考虑纳入计算认知神经科学的学者和相关机构。暂时还不了解计算神经科学和计算认知科学的关系。

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MindModeling@Home (Beta)

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karanotsingyu commented Nov 10, 2019 •
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Computational Cognitive Science Lab - People

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karanotsingyu commented Dec 9, 2019 •
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"computational cognitive Science" - Google Scholar

双引号很重要orz……

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计算认知神经科学暑校：Computational and Cognitive Neuroscience Summer School | Course website

今年（2020）虽没举办，但在 NMA Summer School 参与贡献课程内容。

@karanotsingyu
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Cognitive & Neural Computation Lab | UC Irving

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Dr Gunnar BLOHM - CV

@karanotsingyu
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暂时默认不收录计算神经科学。神经科学的话先只考虑纳入计算认知神经科学的学者和相关机构。暂时还不了解计算神经科学和计算认知科学的关系。

两者高度重叠，只是就研究对象和/或方法而言，前者还会涉及到分子水平的计算模拟而后者不会；而后者则更多涉及到一些不涉及神经科学的“纯认知”的计算模拟。

然而如今几乎没有不涉猎认知的计算神经科学学者。故两个领域可以大致视为一家。

故计算神经科学的大牛、实验室、重要会议和学习资源也收录进来。

@karanotsingyu
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@karanotsingyu
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资源清单的结构要重新整理一下了。。。。用流派分类太粗暴了，就用姓名排序吧；而且阳老师和开智的信分全局认识模型多数人并不理解。旧的分类列表留着作参考，并强调编排思路主要参考自那本剑桥手册里对计算建模的流派划分。多数计算认知科学家都不会单纯地只捣鼓神经网络或者贝叶斯或者xxx的。

哦，然后NMA的课程仓库也要补进来。这可能是目前最好的开源的学习资源了。

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karanotsingyu commented Feb 16, 2021 •
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托马斯·格里菲斯计算认知科学实验室发起的：

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Hongjing Lu lab at UCLA

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‪Wei Ji Ma / Whee Ky Ma‬ - ‪Google Scholar‬

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http://stateoftheart.ai

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awesome ai 也应当增补进来

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各种github仓库比如moog/PsychoPy/psychtoolbox/hBayes之类也应该都被增补进来

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https://humaninformationprocessing.com

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ropensci/opendata: CRAN OpenData Task View

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单纯是概率统计/计算科学基础的就直接链接awesome清单吧，这里不列出来了，还有贝叶斯N神书那些（或许）也是（不过《概率论沉思录》怎样？

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https://data.census.gov/cedsci/

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awesomedata/awesome-public-datasets: A topic-centric list of HQ open datasets.

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Journal: Scientific Data

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https://neuromoment.cn/

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Computational Statistics for Bayesian Inference with PyMC3 — Introduction to Computational Statistics with PyMC3

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Library Genesis: Osvaldo Martin - Bayesian Analysis with Python: Introduction to statistical modeling and probabilistic programming using PyMC3 and ArviZ

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Tobias Gerstenberg | Causality in Cognition Lab

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Computational Cognitive Science lab: Reading list on Bayesian methods

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Awesome list, esp. for labs: CoCoSci

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karanotsingyu commented Aug 26, 2021 •
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Randall O'Reilly, UC Davis

https://m.bilibili.com/video/BV1MK4y1f7Cr

https://www.youtube.com/playlist?list=PLu02O8xRZn7xtNx03Rlq6xMRdYcQgEpar

CCN Textbook: https://github.com/CompCogNeuro/ed4
Simulation Exercises: https://github.com/CompCogNeuro/sims

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Learning Resources & Curated List:

Python for the practicing neuroscientist: an online educational resource | Labs | eLife

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karanotsingyu commented Aug 26, 2021 •
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Computational Psychiatry

包括CP的华人学者、组织

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karanotsingyu commented Aug 26, 2021 •
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可以整进一个类似ossu那样的资源索引。

分成 Prerequisite Foundation/Related Fields 二到三大块

前者就是微积分线代概率论那些，中间嘛。。。后者的话只列topics：计算神经科学、人工智能、机器学习、计算数据科学、计算语言学、计算精神病学、……

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格式革新：

professor_name (ascend by initial letter of the last name): [homepage] [lab] [google scholar] [twitter] ......

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karanotsingyu commented Aug 26, 2021 •
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可以整进一个类似ossu那样的资源索引。

分成 Prerequisite Foundation/Related Fields 二到三大块

前者就是微积分线代概率论那些，中间嘛。。。后者的话只列topics：计算神经科学、人工智能、机器学习、计算数据科学、计算语言学、计算精神病学、……

思路错了 这些大多本来就是计算认知科学的分支嘛，毕竟有认知科学六芒星/七芒星。反倒是我最初想搞的只是计算认知心理学。

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也可以列列常用模型或方法，比如BayesNet、HBM、DDM、MCMC、DL、RL……

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Computational & Theoretical Neuroscience Journal Club

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