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Seanny123
searching PlanetScale…
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31.
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Seanny123
8y ago
Interestingly, there is a proposal for Actix to be the HTTP layer of Rocket. https://github.com/SergioBenitez/Rocket/issues/17#issuecomme...
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Seanny123
8y ago
Oddly enough, my friend and I were looking for almost exactly what Hippo is offering. I guess the market is too small and not flush with cash for something like this to exist? See requirements here: https://softwarerecs.stackexch
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Seanny123
8y ago
Yes, it could, but you'd first have to translate the connectome into spiking neurons, which is a non-trivial task.
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Seanny123
8y ago
Other student from the lab here. You could, but it might not be particularly useful. They already have a really good simulation environment and ways to connect it to virtual environments. It would be useful if you wanted to extend the model
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Seanny123
8y ago
Another student from the lab here. > unfortunately docs aren’t helping at all Yeah, the docs really aren't the ideal entry point. Instead, I'd recommend installing the [Nengo GUI]( https://github.com/nengo/n
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Seanny123
9y ago
To be clear, this article is about neural computation, while Joscha has chosen to ignore the constraints imposed by this computational paradigm.
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Seanny123
9y ago
> There are fundamental questions left unanswered: What information do neurons represent? How do neurons connect to achieve that? How are these representations learned? Neuroscience offers partial answers and algorithmic ideas, but we ar
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Seanny123
9y ago
I would love some examples where R makes it easier to get answers than Python. Probably would make good Pandas2 issue too!
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Seanny123
9y ago
This article seemed more like the documentation of a cultural phenomenon (mothers able to publicly admit regret) than a sociological study. But I still want to know why mothers regret having children. The comments seemed to be filled with
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Seanny123
9y ago
Whelp. I was super wrong. I had predicted I wouldn't see memristor-based neuromorphic hardware in the next 10 years. That being said, I feel like they're over-selling the capabilities of reservoir computing. Yeah, [you can stack t
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Seanny123
9y ago
How does this compare to the various other languages that compile to Verilog? Update: read the paper and they cover a few examples in it. Don't have enough domain knowledge to judge whether the claims are accurate, nor whether they gen
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Seanny123
9y ago
The book referenced at the end, called Domain-Driven Design, has mixed reviews. Does anyone understand why a lot of people found it disorganised and vague?
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Seanny123
9y ago
Did they fix the build system or are they still going to use the weird catkin build system? I read the article, but it didn't mention it. I ask, because it has been consistently the most difficult part of using ROS for myself and every
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Seanny123
9y ago
This is precisely what I'm waiting for as well. I want to run the Nengo neural simulator in the browser, so I can share my research easily, but it looks like I'll have to wait a few years.
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Seanny123
9y ago
But HTM (the learning rule mentioned in this article) isn't biologically plausible, despite trying to be Hebbian. See this discussion on my lab's forum: https://forum.nengo.ai/t/hierarchical-temporal-memory-vs
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Seanny123
9y ago
> Technically, decent idea. Realistically, you're hosting the stuff people don't want to pay to host. Very personally, I see it as contributing a small amount of a very non-scarce resource (bandwidth, disk space, computing powe
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Seanny123
9y ago
That's basically what the entire field of computational/theoretical neuroscience is trying to figure out right now. What's being computed? What's the right level of abstraction? Basically, it depends on what you're
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Seanny123
9y ago
The math this guy performs is so questionable and his idea that Deep Learning is the pinnacle of biologically plausible cognitive modelling is incorrect. I write about this [in a blog post]( https://medium.com/@seanaubin/
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Seanny123
9y ago
Huh, apparently. This will be an interesting conversation at the next lab meeting.
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Seanny123
9y ago
> Nothing works nearly as well by comparison. Depends on what you mean by "well". It would be foolish of me to deny the advances of deep learning. However, there are limitations and the NEF can act as a bridge in those cases. F
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Seanny123
9y ago
> there's no need for machine learning, neural networks or etc. There is if: 1. You want an energy-efficient distributed representation of the function. 2. You want to use the function as an initial guess and then learn online after
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Seanny123
9y ago
I'm from the lab that you're citing with those links and I'm kind of amazed you're so up to date with our research. Why do you know so much about Nengo? Are you actually one of my lab-mates, but I just can't identif
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Seanny123
9y ago
> Does not need to be trained? The writer maybe wanted to say it does not need to be programmed in the traditional way. There are two ways to build spiking neural net architectures without training. The [Neural Engineering Framework]( ht
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Seanny123
9y ago
Seriously. This has been the one major stalling point for me as well. Setting up a Python environment and installing programs with Chocolatey were trivial, but the damn PowerShell terminal is ugly as sin.
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Seanny123
9y ago
Not to mention the Sudbury and Waterloo area which is super left-wing and unionist. I mean, anecdotal, but I feel like it's okay to counter an anecdote with an anecdote in this case? Further analysis would require access to the data be
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Seanny123
9y ago
very personally, clever means "well, that would have taken me a long time to figure out and code properly"
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Seanny123
9y ago
tl;dr they found a clever way to spread the training across 256 GPUs by synchronising the stochastic gradient descent
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Seanny123
9y ago
Is the code for generating the reactions from the LSTM hidden units posted anywhere? That was the best part for me and I'd love to use it in my own projects.
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Seanny123
9y ago
Thank you so much for pointing me to web.skype.com. I didn't know this existed and it solves so many problems for me.
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Seanny123
9y ago
I think it's more important to choose the right level of detail for what you're modelling. This is covered in "The Use and Abuse of Large Scale Brain Models" [1]. [1] https://github.com/arvoelke/dela
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