Paul Middlebrooks

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

RT @GauteEinevoll: Episode #20 in #TheoreticalNeurosciencePodcast: On neuro-AI on the boat - part 2 of 2 - with Paul Middlebrooks (@pgmi…

Out to Sea II: The Firehose vs. The Slow Drip Tim @TPVogels and Cristina Savin on using AI to explore the space of possible brain dynamics vs. to enhance neuroscience theory, and their different approaches to productivity. @GauteEinevoll, Mikkel Lepperød and I keep score.

Norway's fjords bring out the best in NeuroAI folks... Ken @kennethd_harris, Andreas @AToliasLab, & Mikkel Lepperød rock the boat with myself and fjord-master @GauteEinevoll (host of the #TheoreticalNeurosciencePodcast). I think we solved most things. https://t.co/QUw9BwUCoG

Dopamine flooded my brain's pleasure center while Vijay @vijay_mkn and Ali @mohebial told me how it's out with the old and in with the new dopamine stories. https://t.co/aWU8eiF0gY If you prefer reading, check out Vijay's article in @_TheTransmitter: https://t.co/pUeFhTYqDX

Kim @neuro_kim has her fingertips on two horizons, both of which offer boundless possibilities... a fantastic way to think and make a living. Thanks to @_TheTransmitter - the first BI episode of our new partnership: https://t.co/VhJJqicWas. https://t.co/ktxj0tgv9s