Generalised exponential-Gaussian distribution: a method for neural reaction time analysis
文献类型：期刊论文
| 作者 | Marmolejo-Ramos, Fernando12; Barrera-Causil, Carlos11; Kuang, Shenbing10 ; Fazlali, Zeinab7,8,9; Wegener, Detlef6; Kneib, Thomas4,5; De Bastiani, Fernanda3; Martinez-Florez, Guillermo1,2
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| 刊名 | COGNITIVE NEURODYNAMICS
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| 出版日期 | 2022-05-17 |
| 页码 | 17 |
| 关键词 | Exponential Gaussian distribution Reaction times Neuronal response latency Cognitive neuroscience Generalised additive models for location Scale and shape |
| ISSN号 | 1871-4080 |
| DOI | 10.1007/s11571-022-09813-2 |
| 通讯作者 | Marmolejo-Ramos, Fernando(fernando.marmolejo-ramos@unisa.edu.au) |
| 英文摘要 | Reaction times (RTs) are an essential metric used for understanding the link between brain and behaviour. As research is reaffirming the tight coupling between neuronal and behavioural RTs, thorough statistical modelling of RT data is thus essential to enrich current theories and motivate novel findings. A statistical distribution is proposed herein that is able to model the complete RT's distribution, including location, scale and shape: the generalised-exponential-Gaussian (GEG) distribution. The GEG distribution enables shifting the attention from traditional means and standard deviations to the entire RT distribution. The mathematical properties of the GEG distribution are presented and investigated via simulations. Additionally, the GEG distribution is featured via four real-life data sets. Finally, we discuss how the proposed distribution can be used for regression analyses via generalised additive models for location, scale and shape (GAMLSS). |
| 收录类别 | SCI |
| WOS关键词 | FRACTIONAL ORDER-STATISTICS ; NEURONAL RESPONSE LATENCY ; POWER ; PATHWAYS ; MODELS |
| 资助项目 | Instituto Tecnologico Metropolitano (ITM) ; German Research Foundation (Deutsche Forschungsgemeinschaft; DFG)[KN 922/9-1] ; German Research Foundation (Deutsche Forschungsgemeinschaft; DFG)[WE 5469/2-1] ; National Council for Scientific and Technological Development (CNPq)[310050/2019-7] |
| WOS研究方向 | Neurosciences & Neurology |
| 语种 | 英语 |
| WOS记录号 | WOS:000796789400002 |
| 出版者 | SPRINGER |
| 资助机构 | Instituto Tecnologico Metropolitano (ITM) ; German Research Foundation (Deutsche Forschungsgemeinschaft; DFG) ; National Council for Scientific and Technological Development (CNPq) |
| 源URL | [http://ir.psych.ac.cn/handle/311026/42706]  |
| 专题 | 心理研究所_认知与发展心理学研究室 |
| 通讯作者 | Marmolejo-Ramos, Fernando |
| 作者单位 | 1.Univ Fed Ceara, Programa Posgrad Modelagem & Metodos Quantitativo, Fortaleza, Ceara, Brazil 2.Univ Cordoba, Fac Ciencias, Dept Matemat & Estadist, Cordoba 2300, Colombia 3.Univ Fed Pernambuco, Stat Dept, Recife, PE, Brazil 4.Georg August Univ Gottingen, Chair Stat, Gottingen, Germany 5.Georg August Univ Gottingen, Campus Inst Data Sci CIDAS, Gottingen, Germany 6.Univ Bremen, Ctr Cognit Sci, Brain Res Inst, Bremen, Germany 7.New York State Psychiat Inst & Hosp, New York, NY 10032 USA 8.Columbia Univ, Dept Psychiat, Div Integrat Neurosci, New York, NY USA 9.Inst Res Fundamental Sci IPM, Sch Cognit Sci, Tehran, Iran 10.Chinese Acad Sci, Inst Psychol, Beijing 100101, Peoples R China |
| 推荐引用方式 GB/T 7714 | Marmolejo-Ramos, Fernando,Barrera-Causil, Carlos,Kuang, Shenbing,et al. Generalised exponential-Gaussian distribution: a method for neural reaction time analysis[J]. COGNITIVE NEURODYNAMICS,2022:17. |
| APA | Marmolejo-Ramos, Fernando.,Barrera-Causil, Carlos.,Kuang, Shenbing.,Fazlali, Zeinab.,Wegener, Detlef.,...&Martinez-Florez, Guillermo.(2022).Generalised exponential-Gaussian distribution: a method for neural reaction time analysis.COGNITIVE NEURODYNAMICS,17. |
| MLA | Marmolejo-Ramos, Fernando,et al."Generalised exponential-Gaussian distribution: a method for neural reaction time analysis".COGNITIVE NEURODYNAMICS (2022):17. |
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来源：心理研究所
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