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Neurovis: Visualizing brain signals in 3D in real-time
- abhyudaypratap 9y agoNeuroVIS is just amazing.
- make3 9y agoIs it? It looks like something you could code up in a few weeks.. just take a random brain model, make it semi translucent, then map the data inside of the model to a continuous 3d smoothed grid, and voila
- SubiculumCode 9y agoI'm not an eeg guy, but do fMRI. The little video on the site did not give me an indication of what makes it notable or useful. Eeg researchers create heat maps all the time over electrode points. They also look at timeseries on those electrode points. Edit: I guess tht focus is on presenting the data as it is collected. Not sure if that is novel or not, but that is more specific than I thought at first.
- lend000 9y agoThis is very cool -- does anyone have experience with the company or product? This looks like something I want for my home lab.
- rdruxn 9y agoCool, but practically useless.
- BucketSort 9y agoThe consumer grade EEG's you would use for this, like Open BCI, place rudimentary sensors on the scalp. There just isn't enough information from these types of sensors to give you a real look at what signals are occurring in the brain. This is a fundamentally flawed premise and is nothing more than a toy. Real brain research must be done with FMRIs or much more accurate EEG's than consumers have access to, and institutions with such advanced tech already have vis software.
- xab9 9y agoI had multiple MR and CT scans, some EEG - from all these only EEG is kinda "realtimish", isn't it? Do we have any technology in these days that can _map_ surface electrical changes to brain internals (depth data) or anything that can work in true 3d?
- frereubu 9y agoYep, only EEG gives you that kind of information. fMRI takes a lot of post-processing with complex statistics to produce any kind of useful information. I worked on a study that used fMRI to study the involvement of early visual areas in the cortex during reading tasks, and when processing long runs we'd get on with other stuff while the data was being processed. There isn't any existing tech to take surface data and "map" it to internal states because there isn't a simple relationship between on and the other. For real-time recording of activity deeper in the brain than a few centimetres you need to implant electrodes during surgery, which is obviously only something that happens in humans when that person needs brain surgery already. There's some interesting stuff being done around decision-making with implanted electrodes in monkeys, but that's understandably not to everyone's taste.
- omginternets 9y ago> fMRI takes a lot of post-processing with complex statistics to produce any kind of useful information. So does EEG. The reason EEG is closer to real-time than fMRI is because of the sampling rate. With fMRI, .9 Hz is considered quite good. For EEG, 2000 Hz is considered standard.
- candyman2018 9y agodrughouse.store for all your drugs
- ngcc_hk 9y agoInteresting but I think Heart is more ok. Brain? Imagine you put a eeg and ecg in an alphago neural network and looked at the heat map. Any use? That is not even close to the 100 billion plus Neuton we have. Wonder. But the graphic especially the heart is interesting.
- epmaybe 9y agoIsn't alphago a dqn? If so, how would you generate any eeg or ecg heat maps? Or rather, how would you generate a state action space given that data?
- hacker_9 9y agoThe video looks really cool, even if it just shows how fast the bloodflow in the brain moves about. I didn't realise it was that quick before, so that was interesting. But their technology paragraph makes no sense: "Unity takes advantage of the computational power of the graphical processing unit (GPU) thus greatly improving processing speed for real-time analytics and data visualisation." And so does any other 3d application in the last 40 years. It's why we have GPUs. Unity does nothing special, and in fact doesn't even give you access to the full power of the GPU (like CUDA does). "Streaming data from local files, the cloud or connected headsets improves memory usage and computational performance." Streaming data from the internet improves performance? That makes no sense.
- IanCal 9y ago> Streaming data from the internet improves performance? That makes no sense. The streaming part improves performance over loading the whole data in advance. I think that's what they mean.
- quicon 9y agoThis is as useful as plotting traffic data from NY into a map of SF.
- dang 9y agoThis comment could be useful if you'd explain why, but as it stands, it's just a shallow dismissal of the kind we're hoping to avoid here. Please don't post like that. If, however, you'd like to neutrally explain the point (neutrally = without snark or spin), so we could all learn something, that would be great. https://news.ycombinator.com/newsguidelines.html https://news.ycombinator.com/newsguidelines.html
- frereubu 9y agoThis quote - "facilitating intuitive interpretation of complex phenomena" - makes me very suspicious. Inference in neuroimaging is complex and you need to take a great deal of care when interpreting data. There isn't really such a thing as a good outcome from "intuitive" interpretation of neuroimaging data. For example, there was a story in 2011 about some research that said the brain's "love centre" was being activated by a video of a vibrating and ringing iPhone. They were talking about the insular cortex, but the insular cortex is also involved in vomiting.
- yoz-y 9y agoThe only new thing with these visualisations is that they are nicer than what is currently done. And in nicer I mean that they have more polygons and translucency. Most tools working with EEG do have extremely similar visualisations bundled with them as well.
- kruhft 9y agoBetter than the Emotiv locked down software I hope? Worst part of the Emotiv experience is simply registering to be able to use their software...