Paul Middlebrooks

Wanna test your consciousness theory, in a massive adversarial collaboration (@ArcCogitate)? Call @ferrante_oscar, @RonyHirsch, & @LepauvreAlex (don't call, but you'd be in good hands!) Integrated information theory vs. global neuronal workspace theory https://t.co/qrO18b6pky

Pretty packed and lots of fun with @DeanBuono... AI and neuro diverging. Physicists and neuroscientists try to reconcile time. IIT requires a new physics. Predictive coding & replay in organotypic brain slices. A guest Q from @dav_robbe. Phew! https://t.co/c6N3GAhZJy

NeuroAgents? A new Turing Test for NeuroAI? Need I say more? Perhaps... happy belated birthday NeuroAran @aran_nayebi! https://t.co/rlBSW0c5Pw

Ah, so that's what a schema is! And that's why my teenage years were so... well, I'll let Alison @preston_lab tell you. https://t.co/Gxh9DGsKjI

I'm starting a discussion group to explore how foundational ideas in complexity science can help us think about - and better explain - minds and brains (natural and artificial). Details and option to sign up: https://t.co/mktBBXapSt

Ciara @ciaragreene01 puts me at ease about my poor memory. We discuss all the glorious ways our memories are encoded, altered, affected by emotion, and expressed, all to help us function in the world. Check out her book Memory Lane, w @gillysmurf https://t.co/uOnOsiOBXY

Wait, so all our neurons are little control freak agents? Mitya @chklovskii: Well, most of them... some of them have to kinda be tricked into thinking they are, like the ones in our eyeballs... A heap of poetic license, but the gist is right. https://t.co/cEzqrwBc80

David @dav_robbe is done looking for clocks in brains. Henri Bergson had it right, he says. We measure time by our actions and the flow of the world around us, and David has a treadmill and rodents to prove it! (Well, not prove prove, but, you know...) https://t.co/UThLZOH5gt

SFI @sfiscience president David Krakauer on the foundations and ongoing evolution of complexity science, and the four-pillar approach to thinking like a complexity scientist. https://t.co/3x3imJxdny

Following last episode w @RajeshPNRao's active predictive coding, Eli @EliSennesh shares a bayesian "divide-and-conquer" predictive coding algorithm. Also, his smooth, obstacle free (as always!) transition from theory to experiment in @BastosLabNeuro https://t.co/Pm3KPU9gUn

RT @RajeshPNRao: Episode 201 of the Brain Inspired podcast, featuring my conversation with Paul Middlebrooks @pgmid on classical predictive…

25 yrs ago, perception dominated neuroscience, and Raj's @RajeshPNRao predictive coding theory. Now, it's all about action-perception loops across the hierarchy... "active predictive coding." Also, augmenting our cognition with AI neural co-processors! https://t.co/kpgZjfPwW3

RT @waymaking23: From academia to the open road, @pgmid shares his story of embracing unknown paths, balancing neuroscience with life chall…

I know, I know, we all work hard. But I'm telling you, Grace and @j_d_monaco made me feel downright lazy when I learned how the sausage is made. At the recent workshop, I learned how lots of future NeuroAI sausages might get made. Also... phaser cells! https://t.co/IsjlTAa2s9

RT @_TheTransmitter: Paul Middlebrooks @pgmid talks with Grace Hwang and Joe Monaco @j_d_monaco about their recent workshop exploring how t…

RT @mohebial: Two favorite friends of mine talking science 😊

Every neuron in your brain (every cell in your body!) has the potential for universal computation. @theHessam describes why that's important, and one way RNA, and it's secondary structure, could have evolved that ability using combinatory logic. https://t.co/ZnT80T1Wz9