Wow, many apologies for cutting off the (relatively) constant drip of science goodness I've had going on for the last few months. The past few weeks have been super hectic (I just got back from an interview in Seattle).
I've had to spend all of my writing time working on an article on memristors for the upcoming edition of the Berkeley Science Review. To that extent, I thought I'd share this interesting lecture by one Leon Chua, the original mind behind memristors and a huge supporter of their emergence into the scientific world today.
I'm not going to go into a ton of detail (you'll have to wait for the article for that!), but this is a general lecture on the ways in which memristors might be applied to physical models of the human brain.
(for those of you who have no idea what I'm talking about, check out this post on a team that is creating software to be used with memristor circuits)
Essentially, Chua is arguing that brains are already made up of memristors (though obviously not in the same sense that our circuit boards are). He points to the well-known behavior of synapses as strengthening/weakening their connection depending on whether the two neurons involved fire at the same time. This is a process called Hebbian learning, and Chua suspects memristors are just right for this job.
It's a bit long, so feel free to skip around to the parts that seem more interesting to you, but well worth the watch if you like thinking about how other physical systems might do things similar to natures method of biological computation.
Either way, I promise more regular posts from now on...that is, until my next interview period 🙂
via Memristor.org (detailing a conference on memristors last February)