New neural network architecture inspired by neural system of a worm

Post by zaroth » Sat, Feb 18, 2023, 5:41 PM UTC

ly3xqhl8g9 wrote: post #63

laughingman2 wrote: post #60

Earlier quoted context omitted.

I am working on RL and robotics. I came across Levin in Lex's podcast. And then went on a binge of his other podcast appearences. I agree totally with you, I would very much like to build agents that adapt to different circumstances like "simple organisms". I am not familiar with biology, but I plan to build competence here to follow Levin's work to a point that I could potentially collabrate with biologists or learn…

I also focused on the work done by the Levin lab after the Sean Carroll podcast [1]. In order to familiarize myself with the subject matter in a more practical manner I started writing a wrapper and a frontend, BESO [2], BioElectric Simulation Orchestrator , for BETSE [3], the Bio Electric Tissue Simulation Engine developed by Alexis Pietak which is used by the Levin lab to simulate various tissues and their response…

Post by whatshisface » Sat, Feb 18, 2023, 9:42 PM UTC

phaedrus wrote: post #22

ly3xqhl8g9 wrote: post #21

Earlier quoted context omitted.

"I’m skeptical that biological systems will ever serve as a basis for ML nets in practice" First of all, ML engineers need to stop being so brainphiliacs, caring only about the 'neural networks' of the brain or brain-like systems. Lacrymaria olor has more intelligence, in terms of adapting to exploring/exploiting a given environment, than all our artificial neural networks combined and it has no neurons because it is…

I wonder if there's a step-change where single-celled animals with complex behavior are actually smarter than the simplest multiple-celled animals with a nervous system.