TE
科技回声
首页24小时热榜最新最佳问答展示工作
GitHubTwitter
首页

科技回声

基于 Next.js 构建的科技新闻平台,提供全球科技新闻和讨论内容。

GitHubTwitter

首页

首页最新最佳问答展示工作

资源链接

HackerNews API原版 HackerNewsNext.js

© 2025 科技回声. 版权所有。

MIT 9.11: The Human Brain (Spring 2018)

709 点作者 indescions_2018将近 7 年前

15 条评论

nancykanwisher将近 7 年前
Hi all- I am so psyched to see that some are finding the videos interesting! Do send comments if you have them. cheers, Nancy
评论 #17217872 未加载
评论 #17219269 未加载
评论 #17219057 未加载
评论 #17221128 未加载
评论 #17229064 未加载
评论 #17232718 未加载
评论 #17219630 未加载
评论 #17218291 未加载
评论 #17219184 未加载
评论 #17219399 未加载
评论 #17228728 未加载
评论 #17219037 未加载
评论 #17219794 未加载
评论 #17217914 未加载
richardboegli将近 7 年前
YouTube playlist of all linked videos: <a href="https:&#x2F;&#x2F;www.youtube.com&#x2F;playlist?list=PLyGKBDfnk-iAQx4Kw9JeVqspbg77sfAK0" rel="nofollow">https:&#x2F;&#x2F;www.youtube.com&#x2F;playlist?list=PLyGKBDfnk-iAQx4Kw9JeV...</a>
评论 #17219290 未加载
heckanoobs将近 7 年前
Watched about an hour so far and this is fabulous. The talks very clearly outline the bounds of the problem space (known and unknown) and then start going region to region. The goal is to perceive the texture of the knowledge domain. This is my favorite way to learn about a subject.<p>Looks like it&#x27;s gonna be a nerdy Saturday night binge watching these. Too bad there isn&#x27;t a Netflix for this kind of stuff
评论 #17217380 未加载
评论 #17217128 未加载
评论 #17217672 未加载
mark-ruwt将近 7 年前
For anyone curious about the MIT course numbering system: <a href="http:&#x2F;&#x2F;catalog.mit.edu&#x2F;subjects&#x2F;" rel="nofollow">http:&#x2F;&#x2F;catalog.mit.edu&#x2F;subjects&#x2F;</a>
fermienrico将近 7 年前
Thank you, this is the most incredible thing ever. From the introductory video, Nancy is an amazing speaker on such an interesting topic. I&#x27;ve just ordered pizza. I couldn&#x27;t be more excited.<p>Thank you again.
评论 #17217668 未加载
eduren将近 7 年前
Loving the lectures so far. Wondering if the assignments and readings are available somewhere, I haven&#x27;t been able to find them.
ghaff将近 7 年前
There&#x27;s a long history of really great MIT intro (or relatively so) psychology&#x2F;brain science courses. Back in the 1970s, the intro course was a hugely popular lecture taught by the head of the department.
评论 #17217043 未加载
评论 #17217052 未加载
评论 #17217790 未加载
JamilD将近 7 年前
MIT’s Center for Brains, Minds, and Machines (CBMM) YouTube channel is a gold mine of interesting videos at the intersection of ML, neuroscience, and cognitive science. It’s definitely worth checking out.
compute_me将近 7 年前
This looks amazing! Added to my to-watch-list. Also, if you are interested in this kind of neuro- &#x2F; cogsci- stuff with a tech-twist you might want to consider attending this wonderful spring school for an incredibly immersive learning experience: <a href="https:&#x2F;&#x2F;interdisciplinary-college.de&#x2F;" rel="nofollow">https:&#x2F;&#x2F;interdisciplinary-college.de&#x2F;</a>
评论 #17225580 未加载
ghaff将近 7 年前
I&#x27;m interested to check this out. I&#x27;ve been trying to understand AI better--but mostly from the ML perspective. I&#x27;m very out of date on brain science though. I took 9.00 back in the dark ages :-) but I&#x27;m not at all up on current research.
home_boi将近 7 年前
Have you guys applied these more technical&#x2F;scientific details of the brain to your life?
ultrasounder将近 7 年前
Bookmarked! A real gem.Has become a rarity on HN these days. Will pace it and watch it over a month.
robg将近 7 年前
Now where did I put my user manual?
bra-ket将近 7 年前
Also see <a href="https:&#x2F;&#x2F;github.com&#x2F;analyticalmonk&#x2F;awesome-neuroscience" rel="nofollow">https:&#x2F;&#x2F;github.com&#x2F;analyticalmonk&#x2F;awesome-neuroscience</a>
m_herrlich将近 7 年前
The typo on the second slide, &quot;Marr&#x27;s Level&#x27;s of analysis&quot; kinda jumps out doesn&#x27;t it?
评论 #17217400 未加载