A massive thank you and congratulations to you, Keiland, for leading this humongous project. We hope this review paper is a fun and useful read to those interested in data analysis of neural activity data.

From mechanical gears in the 1930s to deep learning in the 2020s, the way we study the brain has been a race between technology and analysis. How do we close the gap? Our new paper, doi.org/10.1080/2694... traces this journey, offers resources, and notes a plan for the future.

Congratulations to all the #Artemis team at #NASA!

New paper! Out now in Neuropsychologia: “Sparsity and memory constraints interact with training sequence to bias learning of associative maps” with @dalezhou.bsky.social*, @kwcooper.bsky.social, @lovecrabmeat.bsky.social, and @aaronbornstein.bsky.social. authors.elsevier.com/a/1mipv6TBG9... 🧵:

You know what's urgently needed? Basic software. Reliable database systems, accessible interfaces, privacy oriented design. It's super mundane stuff like asking, "how can software make your life better", not telling people "this is how software is going to solve all your problems." Because it won't.

13. And anyone who has been part of this grand humanist tradition is someone who will not lie down and cower before these sad bullies. I don't know what happens to science in the US over the next four years, but I have no doubt as to where the arc of history bends. We aren't going anywhere. fin

One week away from our celebration of Continual learning across brains and machines! View our exciting line up of speakers and events here: unconf.continualai.org/program/ Oh, and did I mention it's FREE? Please re-post to get the word out, and share widely with your networks!

Howdy! I'm Keiland! 🧠🐀 🤖 🖥 ♾️ = 🧑‍🔬 I'm somewhere between a cognitive scientist and a neuroscientist studying learning and memory across humans, animals, and machines. Ephys, engineering, and a lot of computation. I also confounded the ContinualAI non-profit #neuroscience #neuroskyence #AI