Yohan J. John @DrYohanJohn
🧠 computational neuroscience | emergence | history of science 🤖 Research Assistant Professor at Boston University yohanjohn.com Boston, MA Joined March 2009-
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new pre-print: LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics (biorxiv.org/content/10.110…). A THREAD 🧵 (1/n)
There’s an art to distilling these to the absolute minimal necessary text. The human brain can’t comprehend how stupid these things are without practice.
Good to see that sometimes cranks like this get caught in their web of gibberish and toxicity. theguardian.com/technology/202…
Basically, the Americans invented a foreign bogeyman and then attempted to turn the false propaganda into a real tool for the government. technologyreview.com/2024/04/12/109…
@TonyZador @WiringTheBrain @zmainen Speaking of synchronous inputs and sub-millisecond precision in AP initiation reminds me of this paper from @SchillerJackie. jneurosci.org/content/23/21/…
Awesome piece on randomness, culturally rich too👍 Some ‘big picture’ view of randomness, situating it into the larger contexts: - As an intrinsic property of entities on the left column of Virtual Engine - As part of Apophatic Negation/Integration in Hypophatic Dialectic
Awesome piece on randomness, culturally rich too👍 Some ‘big picture’ view of randomness, situating it into the larger contexts: - As an intrinsic property of entities on the left column of Virtual Engine - As part of Apophatic Negation/Integration in Hypophatic Dialectic https://t.co/MoG8RzCdG9
I believe this is a corollary of the second law: it is easier to destroy than that to build up. Be kind 🙏
I believe this is a corollary of the second law: it is easier to destroy than that to build up. Be kind 🙏
If we use the framework derived from Kolmogorov and Martin-Löf, randomness *just is* unpredictability or incompressibility. Is a process "really" random/noisy? The only negative evidence is prediction. I elaborate on the mathematics of randomness here: 3quarksdaily.com/3quarksdaily/2…
If we use the framework derived from Kolmogorov and Martin-Löf, randomness *just is* unpredictability or incompressibility. Is a process "really" random/noisy? The only negative evidence is prediction. I elaborate on the mathematics of randomness here: 3quarksdaily.com/3quarksdaily/2…
Not sure if this is true or not, but I suspect a majority of intellectuals find it easier to argue (often accurately) that some idea is wrong than to put forward their own idea and defend it.
I know that it can be annoying when someone bumbles into a field with a long history, obliviously reinventing old ideas... but a decontextualized bird's eye perspective can (sometimes!) be refreshing. It forces the experts to be intelligible to the plebes. ;)
Do ontological essentialists actually exist in the 21st century? Or are they a sort of philosophical bogeyman?
"Content" is one of the most bizarre terms used by analytic philosophers looking at neuroscience. They seem to think that neuroscience notions of representation imply a containment metaphor... but I can't imagine most of us who use "representation" have ever thought this way.
"Content" is one of the most bizarre terms used by analytic philosophers looking at neuroscience. They seem to think that neuroscience notions of representation imply a containment metaphor... but I can't imagine most of us who use "representation" have ever thought this way.
It’s incredible how quickly liberals are willing to trash values they claim to uphold - freedom of speech, human rights, international law, etc - the minute these conflict with the objectives of Western hegemony and capital accumulation in the world economy.
Applies for job, gets postdoc. Turns up to first lab meeting. Says “there is no relationship between LLMs and human cognition”. Leaves.
Applies for job, gets postdoc. Turns up to first lab meeting. Says “there is no relationship between LLMs and human cognition”. Leaves. https://t.co/BoV4LQkxZX
"... an author's failure to produce a readable book is not ipso facto a failure to produce a good book — the history of philosophy bears witness to this..." jstor.org/stable/3489148
Luiz Pessoa @PessoaBrain
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Kevin Mitchell @WiringTheBrain
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Michael Levin @drmichaellevin
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Mel Andrews @bayesianboy
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Kording —-& Lab �.. @KordingLab
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CLaE @leafs_s
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Tom Froese, Embodied .. @DrTomFroese
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Philip Goff @Philip_Goff
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Gualtiero Piccinini �.. @gualtieropicc
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Grace Lindsay @neurograce
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Ariadne's Thread @REVA04
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arisbe, a guess at th.. @arisbe__
596 Followers 124 Following Dilettante—Peirce, anomaly, emergence & poetry. 🙑🙒🙓—𝔸𝕟𝕕 𝕀 𝕞𝕒𝕕𝕖 𝕒 𝕣𝕦𝕣𝕒𝕝 𝕡𝕖𝕟 || 𝔸𝕟𝕕 𝕀 𝕤𝕥𝕒𝕚𝕟’𝕕 𝕥𝕙𝕖 𝕨𝕒𝕥𝕖𝕣 𝕔𝕝𝕖𝕒𝕣”— 🙐🙑🙒
dereify @nocardmonte
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Luiz Pessoa @PessoaBrain
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Kevin Mitchell @WiringTheBrain
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Michael Levin @drmichaellevin
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Mel Andrews @bayesianboy
26K Followers 9K Following PhD philosophy of science, AI ethics, mathematical modelling, machine learning, applied maths, science reform. Views expressed here are personal.
Kording —-& Lab �.. @KordingLab
42K Followers 4K Following Konrad kording, @Penn Prof, deep learning, brains, #causality, rigor, https://t.co/tTJW05RjpC, https://t.co/qf7ZHxiCUt, Transdisciplinary optimist, Dad, Loves outdoors, 🦖
Evan Thompson @evantthompson
12K Followers 682 Following Philosopher, writer. Author of Waking, Dreaming, Being; Why I Am Not a Buddhist; co-author of The Blind Spot. 太极拳, cider lover and maker. BlueSky: evanthompson
Earl K. Miller @MillerLabMIT
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Captain Pleasure, And.. @algekalipso
28K Followers 4K Following Views of a Transhuman neo-Buddhist from the future on sociology, artificial intelligence, mathematics, philosophy, neonoir film, and the post-singularity era.
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Carlos E. Perez @IntuitMachine
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Tom Froese, Embodied .. @DrTomFroese
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bioRxiv Neuroscience @biorxiv_neursci
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Gualtiero Piccinini �.. @gualtieropicc
2K Followers 1K Following Curators’ Distinguished Prof @umsl. Barwise Prize winner. Author, Neurocognitive Mechanisms (OUP 2020). Resist fascism, address climate change, support Ukraine!
Grace Lindsay @neurograce
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1K Followers 915 Following building something new, using community curation plus LLMs to help make sense of the world DM for beta invite or sign up here: https://t.co/a86bBAfLG1
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Natasha Mhatre @NatashaMhatre
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@kfshinozuka @DrYohanJohn Fascinating that this deeply technical analysis aligns so well with subjective reporting.
many thanks to my collaborators: prejaas tewarie, @loopyluppi @ChrisWLynn @LeorRoseman, suresh muthukumaraswamy, @ProfDavidNutt @RCarhartHarris @GustavoDeco and my phd supervisor, morten kringelbach. (10/10)
in conclusion, LSD significantly flattens brain hierarchy by increasing the balance between incoming and outgoing connections in the brain. (9/n)
LSD reduces all 3 measures of hierarchy. we also find that LSD constrains the dynamics of each measure. finally, using machine learning classifiers, we showed that irreversibility distinguishes LSD & placebo much better than traditional measures of functional connectivity. (8/n)
according to a popular theory, RElaxed Beliefs Under pSychedelics (REBUS), psychedelics suppress top-down inhibition while liberating bottom-up information flow from sensory brain areas, leading to a “flattening” of the hierarchy of directed information flow in the brain. (2/n)
new pre-print: LSD flattens the hierarchy of directed information flow in fast whole-brain dynamics (biorxiv.org/content/10.110…). A THREAD 🧵 (1/n)
Interesting connection between auditory cortex and facial expressions. We found that stimulation of Heschl’s gyrus and surrounds elicits facial expression and peri-oral movement. New work from my collaborator Ravindra Arya and team. sciencedirect.com/science/articl…
There’s an art to distilling these to the absolute minimal necessary text. The human brain can’t comprehend how stupid these things are without practice.
@DrYohanJohn saw and read this recently and thought it was sort of light on detail but yes agree generally about the posture toward this kind of thinking
@DrYohanJohn Yes, it often leads to a sort of race to the bottom for any positive thesis.
@Timothy0Leary @DrYohanJohn I'm not sure it is easy to characterize "what most neuroscientists believe". we know that some neuronal parts are quite reliable, others not so much. We know that in some cases you can elicit very reliable spikes in cortex, and in others you can predict spikes well w/enough info
@DrYohanJohn In a very broad sense yes: if we push prediction to the limit, understanding follows. That's true outside the brain too. I was asking something more specific: are neurons better at making rapid decisions in time than most theory assumes. Ontology of noise is a wider question.
@DrYohanJohn Yep. Surprisingly open question IMO.
@DrYohanJohn @Timothy0Leary i'm not aware of good evidence that vesicular release is to "quantum" fluctuations rather than just classical thermal noise
@kendmil Twitter shorthand to say they showed that it could be reliable, given the right inputs. At the time people were starting to think about decoding noisy populations and why neurons in vivo are noisy This pushed the discussion to consider input statistics not biophysics as central
@TonyZador @WiringTheBrain @zmainen “The generator is low noise (ie produces low-jitter repeatable spike trains) when driven by (biologically relevant) *large* currents arising from *synchronous* synaptic currents” Which would take us to synfire chain/dendritic spike/coincidence detection (class 2/3) literatures!
@cnl_mbu_iisc @WiringTheBrain @zmainen I think you are using "noise" in 2 different ways. But here is a more precise formulation: The generator is low noise (ie produces low-jitter repeatable spike trains) when driven by (biologically relevant) fluctuating currents arising from summed synaptic currents
@TonyZador @WiringTheBrain @zmainen Speaking of synchronous inputs and sub-millisecond precision in AP initiation reminds me of this paper from @SchillerJackie. jneurosci.org/content/23/21/…
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