Leading neuroscientists are joining forces to study the brain — in much the same way that physicists team up in mega-projects to hunt for new particles. The International Brain Lab (IBL), launched on 19 September, combines 21 of the foremost neuroscience laboratories in the United States and Europe into a giant collaboration that will develop theories of how the brain works by focusing on a single behaviour shared by all animals: foraging.So much for the ACCURATE. Foraging is NOT shared by all animals. It's certainly common among our familiar furry and feathered friends. Chordates, mollusks, insects. But it's NOT common in many phyla that live on the ocean floor, waving tentacles and filtering food. No intelligence needed for filter-feeding. Even among the smart set, some types have chosen filtering. Clams, barnacles, tunicates, sperm whales. Whales are plenty smart, but some of them don't bother to forage. Just cruise along with your mouth open and let the filter do the work.
The pilot effort is an attempt to shake up cellular neuroscience, conventionally done by individual labs studying the role of a limited number of brain circuits during simple behaviours. The ‘virtual’ IBL lab will instead ask how a mouse brain, in its entirety, generates complex behaviours in constantly changing environments that mirror natural conditions.Is this new? Well, I guess you could say that simulating only a tiny fraction of what SOME animals do, and getting it incurably wrong, is new. Yes. All of this has been done before, VASTLY better and VASTLY more precise and complete. Why better? Because the earlier efforts were ANALOG. The real system is ANALOG, with INFINITE layers of excitation, inhibition, feedback upon feedback upon feedback, delta detection, delta-squared detection, delta-cubed detection, smoothing, integration, memory, and above all PURPOSE. LIFE IS PURPOSE. You can do all of those things with a few components when the components are REAL AND ANALOG. Everything is simultaneous in an analog system. You can't even properly simulate one feedback loop with software, because the software is always operating in STEPS OF TIME and STEPS OF VALUE. Nothing is simultaneous. Here's a purely wonderful series of articles in British Practical Electronics mag, all by G.C. Brown, laying out a project that was actually built in a mechanical 'animal', and showing the reader how to build the same 'animal'. Typical of the period, it was a ground-dwelling wheeled critter, an ancestor of today's Roomba. Just listing some of the topics to give a sense of the TOTAL coverage: 11/68 intro, conditioned reflex, cutting out distraction 12/68 Excitation/inhibition/feedback, memory, delta, touch sensor, light sensor, avoidance. (Also includes the Stock Game that I mentioned earlier, which is a separate example of an analog 'learning' ckt.) 2/69 SELF-RECOGNITION with a ckt to do it, mutual recognition, auditory perception 3/69 Building the animal, work and reward!!!
Labels: Asked and badly answered, Experiential education, Grand Blueprint
The current icon shows Polistra using a Personal Equation Machine.