Thomas A Carlson

@russpoldrack Fair enough. But if we are doing the system 1 - 2 thing shouldn’t it first respond incorrectly then walk it back with an explanation

@russpoldrack Is this not just chat GPT parroting explanations of variants of these problem?

📢New paper with @amandarob10 and @cogcompneuroout out now in @AnnualReviews! It's a round-up on how neural decoding has advanced our knowledge of visual representations in the🧠 annualreviews.org/doi/10.1146/an…

@TimKietzmann @konigpeter @OpenAI Not sure is anyone has pointed this out yet. The problem with using it for cheating is the AI will generate similar responses to the same question. So if you have multiple student submissions using AI they potentially can be flagged as plagiarism — the AI is plagiarising itself.

Ran one of our essay questions through @OpenAI's new chatbot. Essays are dead. Back to hand-written exams I guess. Sigh.

“Give me an original thought” — well, at least s/he is honest

@3kwa Be careful out their. Clearly the northern beaches council has lost the plot

@CompCogNeuro Nope! Nearly got run over twice already.

Are the roads really the best place to play around with optical illusions?

@MartaIGarrido Woot, congratulations 🥳

Yeaaaasssss! #OPM #MEG is coming down under

Why do mental images look different to real images, and to hallucinations? Our new #preprint answers these questions by considering a simple premise: mental imagery never occurs in a vacuum. Check it out: doi.org/10.1101/2022.0… With @amandarob10 & @CompCogNeuro #mentalimagery

@eline_kupers I would be honoured to host such interesting 🧐 work, but people might find it easier to find you at @CogCompNeuro

I’ll be at @CompCogNeuro in SF and excited to share my postdoc work tonight (8/25)! Poster #1145: A population receptive field modeling framework of sensory suppression in human visual cortex Come say hi :) #ccneuro22

@willjharrison @StevenDakin @jorgemlg @DrGBuckingham Well played good sir, well played

@CompCogNeuro @StevenDakin @jorgemlg @DrGBuckingham There is nothing funny about science

What's super cool here is that he appears to get larger with each jump

@willjharrison @StevenDakin @jorgemlg @DrGBuckingham You two are ridiculous. It’s magic. Vision scientist take the fun out of everything

@StevenDakin @jorgemlg @DrGBuckingham We're going around in circles a bit, but my point is I'm not sure that's true in this case. The camera is setup such that there's a salient physical size change; I'm not convinced there's much illusory size change caused by the chalk. Sorry for sucking the fun out of the room.

Great team effort with critical contributions from many: @martin_hebart @OliverContier @lina_teichmann Adam Rockter Charles Zheng @LexKidder Anna Corriveau @mvazirip Hope to have the data fully publicly available soon!

@Brain1878 Whoa, how could one not read. Curiosity piqued

Shine et al. argue that the brain’s serotonergic system can be better understood when viewed from the perspective of the gastrointestinal tract. bit.ly/3cEyDdV

@PessoaBrain @sd_marlow @benrayfield @Neuro_Skeptic ..and it’s really easy to create a time series of mean luminance and audio levels.

@PessoaBrain @sd_marlow @benrayfield @sd_marlow was in this thread. @benrayfield was in the one from @Neuro_Skeptic. Interesting neither seems to have a neuroscience background - sometimes it’s better not to be too close to the problem. Me, I’m just going with my gut. Sensory systems give reliable EEG responses.

Brain decoding can't work without training data. You can't go from brain to input without that. Or am I wrong??

@PessoaBrain Note: to give proper credit @sd_marlow and @benrayfield suggested a similar solution.

@PessoaBrain Yes, IMHO best solution would keep it simple. Average all the participant data. Measure the mean luminance for each frame correlate that with occipital electrodes. Correlate the audio track with the temporal electrode. Combine the two and the video w the highest score wins.

@NicoleCRust @StevenDakin I particularly appreciate the deaths of despair reference. Really speaks to how big picture your passion project is. Look forward to reading it.

I've spent the past year on a passion project, asking: When it comes to understanding the brain, what are we trying to achieve? What have we learned? What challenges do we face? And what's our plan? As I pull it all together into a book, I want to champion these 11 references:

@willjharrison No experience with this, but here is compelling article says it’s really a matter of reframing your skill set nature.com/articles/d4158…

Tangentially related, I am skeptical that switching career from academia to industry is as easy as people (mostly tenured profs) would have you believe, in the absence of re-training that largely negates a lot of the skillsets developed through PhD/postdocs.