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### Description
Curious if it is possible to add some mathematical psychology models. Some examples being any evidence accumulation models (i.e., drift diffusion, linear ballistic accumulator, etc.),…
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Hi, I am trying to implement neuralSDE using torchdyn, my code is:
```
# drift_func
f = nn.Sequential(...)
# diffusion function
g = nn.Sequential(...)
self.func = Ne…
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Take the best bits of https://github.com/ExCALIBUR-NEPTUNE/nektar-diffusion-ambipolar for the oblique BCs and cylindrical coordinate systems and https://github.com/ExCALIBUR-NEPTUNE/nektar-driftwave f…
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Hello! everyone I am new here and I just started my thesis which based on Drift Diffusion model. My question is that if apply DDM on my data and get some result how would I know these results are good…
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I see the configuration setting for horizontal diffusivity
```
o.set_config('drift:horizontal_diffusivity', horizontal_diffusivity) # m2/s
```
and the note
> New config setting drift:horizonta…
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Hi, I'm a neuroscience student. I think your code about reinforcement learning is very useful, but it seems that I have not found the original csv. file related to it, I wonder if you can provide a co…
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Hi, I was a bit surprised by the difference in speed between backpropogating through ODEs vs SDEs but couldn't find any discussion in the documentation about the time complexity of either. With a quic…
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**Reverse adjoints for SDEs only works with 'TrackerAdjoint()' and only on CPU. 🐞**
Training Large (e.g, Neural) SDEs on GPUs fails. The only working solution is 'TrackerAdjoint()' and this only cu…
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**Issue by [mdnunez](https://github.com/mdnunez)**
_Tuesday Apr 19, 2016 at 23:50 GMT_
_Originally opened as https://github.com/stan-dev/stan/issues/1875_
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#### New Feature Suggestion:
Add a W…
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_From @mdnunez on April 19, 2016 23:50_
#### New Feature Suggestion:
Add a Wiener likelihood function with intrinsic trial to trial variability in the drift rate, titled the "Ratcliff" likelihood fun…