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简介：
认知建模作为心理学领域新兴的领域，能更好地通过数学模型量化心理过程。DDM (drift diffusion model)作为认知建模最流行的工具之一，近年来受到了广大研究者和同学的关注。然而，对于缺乏计算机和算法相关背景的同学来说，如何**配置计算建模的环境**，如何**进行模拟拟合**等问题阻碍了同学们学习认知建模的热情。
本项目旨在使用 docker 对 DDM 的分析工具 …
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## 一言でいうと
SGDによる最適化には
・Empirical Error Minimization
・Representation Compression
という異なる二つのフェイズがあることを明らかにした。
### 論文リンク
https://arxiv.org/abs/1703.00810
### 著者/所属機関
Ravid Shwartz-Ziv
Naftali Tis…
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I've been working on this article lately and want to use the new functions in the rstan package.I want to get started with the new function for the 7-parameter drift diffusion model.Then I ran into th…
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Hi. First off, thank you for making Aestimo, it seems very very useful for what I am trying to do. Unfortunately, I cannot get it to run properly. There seem to be a few bugs at the moment. Here is a …
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See: https://arxiv.org/abs/2009.10113
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DiffEqJump now has spatial SSAs. Thats awesome.
I was wondering whether modeling interparticle forces between pair of molecules is important in this area of jump processes on spatial grids. (Not v…
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This summer I am working on implementing spatial SSAs. There are currently two issues open about it: https://github.com/SciML/DiffEqJump.jl/issues/107 and https://github.com/SciML/DiffEqJump.jl/issues…
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The fitSSP function is much slower than the fitDSTP function. This is because a random number is generated on every iteration of the diffusion process in SSP due to dependencies on a dynamic standard …
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Re https://github.com/openjournals/joss-reviews/issues/4607
This is a very nice notebook as it clearly demonstrates PyFPT's limitations and points to ways how to overcome these. I found parts of it…
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- [x] Allow for re-sampling of the starting point
- [x] Make conjugate updates work with the FPT setting
- [x] Allow for different memory parameters `rho` of the preconditioned Crank-Nicolson scheme…