Thomas A Carlson

Computational cognitive neuroscientist seeking to understand human perception

[Thomas A Carlson @CompCogNeuro]

@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

[Thomas A Carlson @CompCogNeuro]

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

[Genevieve Quek @DrQuekles]

📢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🧠 https://t.co/RSUTW5S1HM

[Thomas A Carlson @CompCogNeuro]

@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.

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

@MartaIGarrido Woot, congratulations 🥳

[Alexander Sulfaro (Alex) @HereForPapers]

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: https://t.co/5esLlrtmj0

With @amandarob10 & @CompCogNeuro
#mentalimagery

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

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

[Chris Baker @Chris_I_Baker]

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!

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

@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.

[Thomas A Carlson @CompCogNeuro]

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

[Thomas A Carlson @CompCogNeuro]

@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.

[Thomas A Carlson @CompCogNeuro]

@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.

[Thomas A Carlson @CompCogNeuro]

@willjharrison No experience with this, but here is compelling article says it’s really a matter of reframing your skill set https://t.co/gMzNWg47F4