Neurofrontiers @neurofrontiers@qoto.org

Corvid enthusiasts who were on twitter before coming here will remember my friend Kris Tsujikawa's crow photographs. Below, two of her latest, posted with permission.

Kris is on the board of PAWS, a local pet and wildlife rescue and rehabilitation organization, and is close to her fundraising goal for this year. If you miss Kris's photography, take a look at what PAWS does and consider making a donation to her campaign.

https://give.paws.org/fundraiser/4644917

Next time you read a paper about the allegedly-magical capabilities of machine learning, remember that pigeons can diagnose mammograms with 85% accuracy with sufficient training

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4651348/

We are exploring new ways of running Neuromatch Conference (our international conference on Computational Neuroscience). How would you like to see it run this year?

Global Online Conference: Previously, we have formatted the event as a global online conference. In this case, there were no timezones. The conference had live sessions evenly spread over 48 hours, and all sessions were recorded and forever viewable.

Mind-matching Networking and Discussion Event: Talks recorded for this conference would be clustered into interest areas. You would be matched to a short playlist of talks that match your interests. Later, after you've watched them, you would be matched using our algorithm to a group of likeminded scientists and your group (which may include authors from original talks) would be given prompts to help you discuss them and your own research in context.

Other: Help us think about other ways to make online scientific communication better

@neuromatch@a.gup.pe #neuromatchstodon #neuromatch #NeuromatchConference #NMC #ComputationalNeuroscience #neuroscience @neuroscience @academicchatter

Brenda Milner did a lot more pioneering work than you'd guess (see article). Remarkably, most of it is still useful after 60+ years! She will be 105 on July 15. Award committees, now is your chance to recognize her pioneering work and send her a great birthday gift.

https://www.frontiersin.org/articles/10.3389/fnhum.2021.786167/full

Why large language models or deep nets are not conscious:

http://romainbrette.fr/notes-on-consciousness-xi-why-large-language-models-are-not-conscious/

(Where I argue that we don't know what consciousness is exactly, but we do have an idea of what consciousness is not)

With the Reddit thing, it'd be easy to miss what's going on on StackOverflow. Basically:

1. Site owners allowed LLM-generated content.

2. Mods are on strike.

3. Also, back in March it turns out SO turned off the Creative Commons data pipe, which backs up the site to the Internet Archive, in an attempt to confound using SO for training data.

https://www.vice.com/en/article/4a33dj/stack-overflow-moderators-are-striking-to-stop-garbage-ai-content-from-flooding-the-site

https://meta.stackexchange.com/questions/390106/moderation-strike-update-data-dumps-choosing-representatives-gpt-data-and-wh

Alzheimer's went into the textbooks with n=2

Many of you might know (or not) that Alzheimer's disease is named after Dr. Alois Alzheimer who first reported that the brains of some patients with age-related dementia had "a peculiar substance" (which today we know as beta-amyloid plaques).

But did you know that he found that in exactly 2 patients that he studied before his boss put it in a 1910 textbook and coined it "Alzheimer's disease"? That substance could have been a complete coincidence! (And in that case, I guess we never would have heard about it again) ...

https://mitpress.mit.edu/9780262546010/how-not-to-study-a-disease/

Whoa. Let’s get back to rationale discussions in brain research:

Debate is vital … The discussion that followed … this is a shame ….

https://www.thelancet.com/pdfs/journals/lanpsy/PIIS2215-0366(14)70363-3.pdf

This is real-world XKCD

See full thread: https://twitter.com/rachel_l_woods/status/1649790435533922307?s=61&t=Ugdi4XBKf_2ovJ1y9hKs4w

All 40+ editors of #Elsevier's _NeuroImage_ just resigned to protest the journal's high #APC and launch a new #OpenAccess journal.
https://imaging-neuroscience.org/Announcement.pdf

"Elsevier…set the NeuroImage APC…at $3,450 USD. Compared against this, estimates of direct article costs at relevant journals are generally around $1,000 or lower.…It is wrong for publishers to make such high profits."

See the #OpenAccessDirectory list of these journal #DeclarationsOfIndependence.
https://oad.simmons.edu/oadwiki/Journal_declarations_of_independence

"The real question is not whether machines think but whether men do."

— B. F. Skinner, Contingencies of Reinforcement: A Theoretical Analysis (1969)

Swept away today by reading about Capgras' syndrome: the unshakable delusion that familiar people around you have been replaced by imposters. Not only because of "how could our brains lead us to think that?!" but also because of its insights into tensions between brain/mind-based causal explanations in psychiatry. This is going to be a long post, but deserves the characters, I think.

The syndrome was first described by Dr. Capgras in 1923. Following the death of her twin boys in 1906, a woman declared that her husband had been murdered and replaced by one among a rotating set of 80 imposters. She wanted to divorce the double and requested a separation from the courts. Capgras speculated that his patient had a disturbance in her ability to recognize familiar people. He also noted that she did not have a distortion in her ability to see or remember who is familiar to her, but that normal sense of familiarity is accompanied by strangeness. You can read a translation of the original paper here:
https://journals.sagepub.com/doi/abs/10.1177/0957154X9400501709

Capgras is rare and when it happens, is most often associated with Schizophrenia, bipolar disorder and dementia. Over the past century, many theories about what causes Capgras syndrome have emerged. They reflect the tension between "organic" (biological) causes and "functional" causes that are not biological. As recently as 1983, Robert Berson reasoned that Capgras could not be organic because it was such a specific delusion. Instead, he reasoned:

In Capgras’ syndrome, I would suggest, pathological splitting has occurred: Internalized object representations are split into "good" consciously acknowledged and "bad" unconscious images. The images persist until an even in interpersonal relationships triggers and important affective change. Previously repressed feelings enter awareness, the "bad" images surface, and the patient declares that a significant other is not who he seems to be but a double.
https://doi.org/10.1176/ajp.140.8.969

You probably won't be surprised to hear that a pile on ensued. They were all very polite about it, though.

Sir: I would like to heartily congratulate Robert J. Berson on his excellent article ... However, I must vehemently disagree ....
https://doi.org/10.1176/ajp.141.4.615-a

In 2017, Michael Fox's group at Harvard used a network mapping approach to identify where the lesions in 17 patients were located. They found that they overlap with brain regions involved in 1) familiarity perception and 2) belief evaluation. In other words, yeah - organic.
paper: https://doi.org/10.1093/brain/aww288
Video of one Capgras patient: https://oup.silverchair-cdn.com/oup/backfile/Content_public/Journal/brain/140/2/10.1093_brain_aww288/6/brain_140_2_497_s1.zip?Expires=1683368818&Signature=bdmW-6ZuKdN~XCCxG6pBZOIjncyX9tCkcjn88tCMv0ifrkz6CsN-uS~iP18hAnUjLRx5VbSb89~d3yUsYkggaBco48IBaTJ1LNdJYPmqAmbdvMP2Gb~4PeNNbxqBYGqRZszD2wtIDwm69QDnFApE9LDcPhsyc45CDNVRiJ7dRU-c~9BPJdmY~V5IhwA4HU9uE5dEdQITRVzDq6MBzGfp1T7jCE2J~iG~U4mp~WDaIj2dJoJsWbctS1AqipTBJM1Uj-U9XT2JRdBJzFzPVSmPUNjqu66uHMCSp7BHeL4skabV8Jin1H2JkdHPdWswudIe5LbTDQQSsMdhX--LU-wJvQ__&Key-Pair-Id=APKAIE5G5CRDK6RD3PGA

Still an open question: what exactly is happening in those brain areas that leads to imposter illusions?! Here's a fascinating news and views that puts it in context: https://doi.org/10.1093/brain/aww323

Notably, there's a lot of great work going on both to investigate the nuts-and-bolts of how face familiarity works:
https://pubmed.ncbi.nlm.nih.gov/34210891/
https://www.biorxiv.org/content/10.1101/2021.03.12.435023v2.full
As well as belief evaluation, e.g.:
https://pubmed.ncbi.nlm.nih.gov/22131418/
While I always love the nuts-and-bolts stuff (and have a soft spot in my heart for familiarity in particular), linking this work to Capgras makes it even more fascinating to me.

Wow.

"Marmosets do not have opposable thumbs. [...] Marmosets were rarely taken in by magic (just 6% of the time). They simply chose the hand in which the marshmallow was initially placed, and stuck with it."

https://phys.org/news/2023-04-sleight-of-hand-magic-monkeys-opposable-thumbs.html

HT @skarthik

#Psychology #Neuroscience

The audacity of for-profit publishing is amazing. If an article is retracted, it is still viewable, and still for $$$. The paper that initiated the retraction is ALSO for $$$.

So they MAKE MONEY WHEN A PAPER IS RETRACTED. Let that sink in when you think about incentives.

https://twitter.com/KordingLab/status/1644143576182579200?s=20

Btw not calling out @kordinglab and @tdverstynen here. They're just cleaning up the mess and don't get paid from this.

Machine learning can easily produce false positives when the test set is wrongly used. Just et al in
@NatureHumBehav suggested that ML can identify suicidal ideation extremely well from fMRI and we were skeptical. Today retraction and our analysis of what went wrong came out.

Here is the retracted paper: https://nature.com/articles/s41562-017-0234-y and here is our refutation https://nature.com/articles/s41562-023-01560-6. If true, the paper's approach could revolutionize psychiatric approaches to suicide.

So what went wrong? The authors apparently used the test data to select features. Obvious mistake. A reminder for everyone into ML: never use the test set for *anything* but testing. Only practical way to do so in medicine? Lock away the test set till algorithm is registered.

Side note: it took 3 years to go through the process of demonstrating that the paper went wrong. Journals need procedures to accelerate this. Also, all the good things of this were by
@tdverstynen

TikZ library for the aperiodical polykites (and related tiles)

https://github.com/loopspace/penrose/releases/tag/v1.6

🎉🎉🎉 Student and Teaching Assistant applications are now open for Neuromatch & Climatematch Academy 2023! 🎉🎉 🎉

⚠️ Submit your application through the portal on our website for Computational Neuroscience, Deep Learning, or Computational Tools for Climate Science @climatematch courses by April 24, 2023.
Visit https://academy.neuromatch.io

"... flashy presentations and sheer ambition are poor indicators of success when it comes to understanding the complex biological mechanisms of brains. Today, as we bear witness to a game of Pong being mind-controlled by a monkey as part of a typically bombastic demonstration by Elon Musk’s start-up Neuralink, there is more of a need than ever to unwind the cycles of hype in order to grapple with what the future of brain technology and neuroscience have in store for humanity."
https://www.scientificamerican.com/article/the-fading-dream-of-the-computer-brain/
#neuroscience