Paul Middlebrooks
@pgmid
Neuroscience | AI | Brain Inspired Podcast
Been really enjoying the Complexity Science Discussion Group hosted by Paul Middlebrooks (@pgmid), where we're working our way through the Santa Fe Institute's "Classic Papers in Complexity Science". The group is open for anyone interested: braininspired.co/complexity-gro…
Bifurcation is the missing half of dynamical systems theory for neuroscience. I's time to go beyond Marr's levels, to a cross-level mechanistic understanding. AI needs a PFC. Xiao-Jing Wang on that and his new theoretical neuroscience textbook. braininspired.co/podcast/215/
Neuroscience is hard, turns out. Embrace the complexity and model it all, says @NicoleCRust. Fun discussion about a Grand Plan to make real progress treating brain disorders. braininspired.co/podcast/214/
Wonderful to chat with @pgmid on Brain Inspired, where we discuss many things. Among them: What are we brain researchers trying to do here (wrt causality)? I also stick my neck out to predict the next big breakthrough in emotion research. Thanks for having me!
I'm not sure what a representation is anymore... or maybe I never knew. These fine folks have some thoughts...
Neuronal avalanches! (they aren't what they sound like) John Beggs on the critical brain hypothesis: its history and current status, the how and why, its detractors, and more. braininspired.co/podcast/212/
Up the Complexity Discussion group at Brain Inspired, hosted by @pgmid, the next paper up is this 1943 classic that I reviewed last year! Looking forward to our upcoming discussion as we proceed through @sfiscience / David Krakauer's complexity papers jesparent.substack.com/p/on-behavior-…
Join @pgmid today as we revisit another foundational work in cognitive and complexity science, and reflect on how biology confronts the deep problem of intelligence. These diagrams are the first logic gates. They inspired von Neumann and subsequent engineers in the design of…
The next foundational papers of complexity science discussion will be Thurs, May 15, at 12:00 pm EDT / 6 pm CEST. We will discuss: W. S. McCulloch and W. Pitts, “A Logical Calculus of the Ideas Immanent in Nervous Activity” (1943)
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 braininspired.co/podcast/211/
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! braininspired.co/podcast/210/
NeuroAgents? A new Turing Test for NeuroAI? Need I say more? Perhaps... happy belated birthday NeuroAran @aran_nayebi! braininspired.co/podcast/209/
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. braininspired.co/podcast/207/
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: braininspired.co/complexity-gro…
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 braininspired.co/podcast/206/
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. braininspired.co/podcast/205/
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...) braininspired.co/podcast/204/
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. braininspired.co/podcast/203/
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 braininspired.co/podcast/202/