Skip to content
HomeVideos
AllLongsCategoriesPlaylists
BooksBlogsPodcasts
HistoryListsWatch laterLiked videosFollowing

The videos, books, blogs and podcasts Hacker News keeps recommending, all in one place.

VideosBooksBlogsPodcastsAboutPrivacySettings

Data from Hacker News, HackerTube, HackerBooks, HackerBlogs and Open Library. Credits · Not affiliated with Y Combinator.

HomeVideosBooksBlogsPodcasts
Ctrl K

    Human brain mapping and brain decoding. | Jack Gallant | TEDxSanFrancisco

    TEDx Talks

    4 HN mentions · mentioned in 4 months, 2019–2022

    YouTube

    17:27 · 175K views · Oct 31, 2017

    Berkeley neuroscientist Jack Gallant shows how fMRI brain mapping can be used to decode what a person sees, with visualizations of brain activity and its implications.

    HN cites it in discussions of reconstructing images from brain scans and the ethics of future brain reading.

    Life Sciences, Mind & HealthNeuroscience & the brainComputer vision, speech & NLP
    1. 0:29
      Movie reconstruction from human brain activityJack Gallant6.8M views • 15 years ago
    2. 22:35
      Sebastian Seung: I am my connectomeTED267K views • 16 years ago
    3. 1:02:06
      Building Brains to Understand the World's DataGoogle TechTalks84K views • 13 years ago
    4. 14:37
      The most important lesson from 83,000 brain scans | Daniel Amen | TEDxOrangeCoastTEDx Talks24M views • 13 years ago
    5. 1:25:27
      Neuroscience of Personality | Dario Nardi | Talks at GoogleTalks at Google164K views • 15 years ago
    6. 16:29
      The great porn experiment | Gary Wilson | TEDxGlasgowTEDx Talks18M views • 14 years ago
    7. 1:42:47
      23. LanguageStanford1.2M views • 15 years ago
    8. 16:51
      How we can use light to see deep inside our bodies and brains | Mary Lou JepsenTED297K views • 8 years ago
    9. 1:00:14
      The Neuroscience of Consciousness – with Anil SethThe Royal Institution1.9M views • 9 years ago
    10. 52:07
      What Bodies Think About: Bioelectric Computation Outside the Nervous System - NeurIPS 2018The Artificial Intelligence Channel103K views • 7 years ago
    11. 4:58
      You Actually Share Your Brain With a Silent StrangerCGP Grey20M views • 10 years ago
    12. 48:10
      Bay Area Vision Meeting: Unsupervised Feature Learning and Deep LearningGoogle TechTalks123K views • 15 years ago
    13. 11:48
      RSA ANIMATE: The Divided BrainRoyal Society of Arts2.2M views • 15 years ago
    14. 55:03
      Your Brain at WorkGoogle TechTalks353K views • 16 years ago
    15. 57:15
      1. Introduction to Human Behavioral BiologyStanford21M views • 15 years ago
    16. 1:55:33
      Joe Rogan Experience #1109 - Matthew WalkerPowerfulJRE9.9M views • 8 years ago
    17. 54:52
      Why We Sleep: Science of Sleep & Dreams | Matthew Walker | Talks at GoogleTalks at Google751K views • 8 years ago
    18. 16:40
      Massive-scale online collaboration | Luis von AhnTED315K views • 14 years ago
    19. 1:00:52
      Joscha: From Computation to Consciousness (31c3)Joscha Bach29K views • 11 years ago
    20. 1:00:19
      Brains, Sex, and Machine LearningGoogle TechTalks152K views • 14 years ago

    4 comments from Hacker News

    1. @mattkrauseNov 2022· in “Reconstructing images a person sees via non-invasive brain scans”

      Tons! Jack Gallant's group at UC Berkley has done a lot of interesting fMRI decoding. The approach in their earlier papers (e.g., Kay et al, 2008 [0]) is neat because it uses some knowledge of how early visual areas represent information, rather than just flinging a decoder at it. They later extended this to movies (Nishimoto et al., 2011 [1]), and have subsequently moved a bit away from sensory information to "semantic" decoding. Jack has a TED talk about this [2] and Kendrick Kay has written some News and Views/Perspective pieces [e.g., 3] that might be interesting too, as it links to other groups' work. I like their approach because it ties into neuroscience rather than just throwing ML at the wall and seeing what sticks, but there's also a huge cottage industry of "Blackbox ML" + MRI to do decoding. My sense is that this has moved slightly out of the limelight and into the stage where people incrementally improve it with newer ML techniques like GANs [4] and diffusion (this link), but it might just be me. For sleep specifically, you might be interested in Horikawa et al. (2013)[5], who could predict words associated with dream contents (e.g., "Car" but didn't try to reconstruct them). There's also a very short perspective on it [6]. [0] Kay, K., Naselaris, T., Prenger, R. et al. Identifying natural images from human brain activity. Nature 452, 352–355 (2008). [LINK] [1] Nishimoto, S., Vu, A. T., Naselaris, T., Benjamini, Y., Yu, B., & Gallant, J. L. (2011). Reconstructing

      CitesView on HN
    2. @OpticalWindowsOct 2020· in “No Implants Needed for Precise Control Deep into the Brain”

      Wireless reading and intrusion of brainwaves or worse make people drones Brain mapping [1] + opsin gene delivery to brain using virus that crosses blood brain barrier [2] + advanced network tracking using phone ect to determine location of head [3] + ??sensitive networks to constantly scan a users head?? + ???networked lasers, em waves to alter thought or behavior in public??? = Telepathy and brain bullying [1] Brain mapping this video "in the future we will have very cheap and very ubiquitous brain reading systems" [2] opsin gene delivery [LINK] [3] human tracking [LINK] Imagine using media such as popular netflix shows, meme's, and other attention grabbing media to map someones brain passively and retain that data. Dope individuals with food, water, air that have virus. bam mind reading/bullying Again the science (brain science, sensors, and em netowrks) probably need to be done to do this We 10000000% need more monitoring of vectors like this. Viruses et all need to be constantly monitored for public safety. Sure we probably do it in wastewater but thats terribly imprecise and a stupid high LOD. Wonder if there are automated jigs that do this in waste water.

      CitesView on HN
    3. @SmokeGSJun 2019· in “Evidence of a nocebo response following a nationwide antidepressant drug switch”

      I feel like we are so close to wirelessly monitoring all brain waves (next 50 years) we will probably be able to, in real time, recognize and diagnose abnormal brain patterns. I think it would be promising if we get this sensor tech up and then perhaps deploy nanotech to interfere with maladaptive brain patterns. The ethics of such a device is considerably sticky. TED talk by Jack Gallant this video recreating vision: [LINK] another ted talk by John-Dylan Haynes [LINK] paraphrased: "wireless non-contact mind reading tech may be cheap and mass producible within the next 50 years." the only rate limiting step with his method of decoding thoughts is that it takes time under a high energy device to pair associations in the brain. Think of how much screen time we currently use. If we could pair a wireless 'headset' like headphones while looking at pictures on a screen it would be possible to build a brain bank of children->tenenagers. Currently we just need a lot of processing power and reserved bandwidth on the internet to do some cool stuff.

      CitesView on HN
    4. @WagmireSep 2020· in “Portable MRI promises to provide immediate diagnosis in virtually any setting”

      Awesome awesome awesome! Medical advancements here will be fantastic. We perhaps need to be preocupied with some ethical delimmas in the near future this video

      CitesView on HN