[HN Gopher] Using brain interfaces to learn about learning
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Using brain interfaces to learn about learning
Author : hhs
Score : 23 points
Date : 2021-04-11 16:47 UTC (6 hours ago)
(HTM) web link (www.axios.com)
(TXT) w3m dump (www.axios.com)
| disabled wrote:
| This is not new news.
|
| You can use OpenBCI [1][2][3] to encode information into your
| memory efficiently. There is a package on GitHub that you can use
| with OpenBCI to encode things into your memory in your sleep
| utilizing audio Anki flashcards [4]. There is also a package that
| allows you to do this while awake [5].
|
| [1] Minimum required chip for project (still need electrodes):
| https://shop.openbci.com/collections/frontpage/products/cyto...
|
| [2] Ideal chip for project (still need electrodes):
| https://shop.openbci.com/collections/frontpage/products/cyto...
|
| [3] Full package with ideal chip (includes electrode and
| electrode cap):
| https://shop.openbci.com/collections/frontpage/products/open...
|
| [4] Cosleep project: https://github.com/Frederik-D-Weber/cosleep
|
| [5] Lambda Loop project: https://lambdaloop.com/memory-encoding-
| openbci
| hhs wrote:
| Thanks for the links.
|
| Please note that the newsworthy part was on the Nature article
| on the relationship between neural engagement and learning:
| https://users.ece.cmu.edu/~byronyu/papers/HennigNN2021.pdf
| disabled wrote:
| Great point: there is a big difference between encoding
| things to memory versus actually learning new things
| (concepts).
|
| I appreciate your correction. :-)
| neatze wrote:
| Why this is better then emotiv[1] products?
|
| [1] https://www.emotiv.com/
| disabled wrote:
| OpenBCI is completely open source.
|
| Emotiv is a lot more difficult to deal with when it comes to
| interfacing [1]. The reference I provide is sort of old but
| it is definitely applicable to Emotiv products in general.
|
| [1] Emotiv issues: https://www.researchgate.net/post/Is-it-
| possible-to-get-raw-...
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(page generated 2021-04-11 23:01 UTC)