Neuroscience | AI | Brain Inspired Podcast
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Would Hegel get along with AI "agents"?
Would he use their agency to explain their abilities?
He would for humans and brains, qua the enactivist approach.
Andrea Gambarotto explains
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I don't know if the Neuro-AI hype train is accelerating or calming down, but I do know it's in good hands with people like @dlevenstein.
Looking forward to those sleeping AI models he's making, too.
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I kept trying to pin Marco down, but he scores high for openness on the big 5 philosopher personality traits. Should've known... he did write the paper "Why can’t we say what cognition is (at least for the time being)"
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Paul Middlebrooks retweeted
Paul Middlebrooks @pgmid talks with Alison Barth about why she thinks learning and memory could be effective tools to better explain the overall function of the cortex.
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One of us, @KathrynNave, has a gift for communicating thorny ideas, like active inference and the free energy principle.
The question is, how do we tell the story from single cell metabolism to multicellular organism extraordinaire Kate Nave?
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Before going full cyborg and replacing all your neurons with artificial units, it's good to think about the consequences.
Yogi Jaeger on AI vs life and mind.
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What if anything does computational complexity have to say about how brains work (or vice versa)?
Cris made this discussion NP easy
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Neuroscience is all into naturalistic behavior now. What is a "naturalistic" behavior, anyway?
Also how do our experiences and definitions change our science? E.g. what counts as "sleep" is different than 100 yrs ago...
Nedah Nemati brings the philosophy
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It's rare when someone outside of neuroscience takes the time and effort (6 years!) to synthesize theoretical neuroscience ideas to explain how something works. James @JamesMHarrison_ knows clinical hypnosis works, and wanted to understand why.
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Ehud @ehudahissar didn't set out to offer a new kind of dualism, but, studying active perception, plus some thinking while driving, and here we are...
Opposing hierarchical (strange) brain loops, interfacing analog & digital signals within & between us.
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Different neuron types make different ripples through different manifolds.
That sounds cool, and Jorge Luis Borges probably already said it...
Liset's @LMPrida work actually is cool, and I'll let her actually say it...
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In theory, the brain is a prediction computation representation information machine.
In reality, the brain is an anticipatory collective of dynamic living cells.
Do our metaphors matter for understanding brains?
Romain @BretteRomain says yes...
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All we are is manifolds in the wind...
That's not quite what Juan @JAlGallego says, but I do wish he sang it to me.
We discuss all things neural manifolds, and a little motor control and BCI for spinal injury prosthetics
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Are the laws of thought woven from three golden threads?
Tom @cocosci_lab and I discuss some of the history and themes in logic, probability, and neural nets, in his new book The Laws of Thought.
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Are the laws of thought woven from three golden threads?
Tom @cocosci_lab and I discuss some of the history and themes in logic, probability, and neural nets, in his new book The Laws of Thought.
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Do neuroscientists know what "affordance" actually means?
(it seems perhaps not)
Luis Favela , Vicente Raja, and Matthieu de Wit on neuroscience trying to adopt ecological psychology for an "ecological neuroscience"
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Wild and free in Estonia, @jaaanaru connects the details with the big picture, like dendrites, thalamocortical loops, consciousness, and insight.
AI has none of the above (including being wild and free)
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You're always thinking, unconsciously interrogating the world.
When an affordance is available to report answers to your brain's questions - to yourself or others - you become conscious of those thoughts.
Rough summary of @shadlen on consciousness...
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"Put your math where your metaphor is", Alex might say (if he takes my suggestion).
He's already putting his money where his mouth is, working toward mathematical laws to capture the structure of consciousness (via integrated information theory for now)
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Five connectomics experts walked into a bar... the panel host ducked.
Fun discussion at @AspirationNeuro about how to decode memories from static connectomes, with
@michalj
@sdorkenw
@helenelab2020
@Andrew_C_Payne
@randalkoene
@KennethHayworth
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