Jeff Hawkins is starting a new company, Numenta, to apply insights from neuroscience into developing better artificial intelligence. We’ll definitely be keeping an eye on this company as we get more details on what kind of AI applications they will be targeting. Undoubtedly, some of Jeff’s ideas in On Intelligence will probably be a large part of it.
Overheard on MTV today in a Pop-Up Video-style commentary:
(In background, video for “Ohio is For Lovers” by Hawthorne Heights.)
College student 1: They are kind of like the Goo Goo Dolls on speed.
College student 2: I have to disagree with you there. I think they are actually more like Dashboard Confessional on healthy doses of Adderall.
This entry isn’t really about science, but I just thought it was interesting to see the reference to “healthy doses of Adderall” (emphasis is mine). This certainly lends credence to the idea that Adderall is being treated more of as a lifestyle drug than potentially a drug of abuse. Interesting.
This group in Japan has some cool goals.
The basic idea is to combine microfluidic plumbing with single neuron electrodes. Here’s their schematic:
Way off topic, but too cool not to post. New Scientist article on “13 areas in which observations do not line up with current theory”
The March issue of Nature Rev. Neuroscience includes an interesting article about an herbal remedy, ibogaine, which appears to upregulate glial-derived neurotrophic factor (GDNF) in the VTA (ventral tegmental area, which seems to play a key role in reward learning). Apparently, an increase in GDNF activity makes alcohol (and presumably other VTA-involved compounds, like opiates) less addictive.
This week’s Science includes a news focus article on how brain scanning technology (and, more specifically, the identification of particular brain states with functional states… eg. lying, mental disease, violent tendencies, etc.). It’s a nice quick read.
It’s nice to see this topic being addressed while the technology is still relatively young and (for the most part) still confined to the lab.
Also, this is our 100th posting on the blog… and it’s only been about a year…
In this very interesting article, Martin Sereno argues that rather than evolving out of inflexible, hardwired emotion-linked calls, language may have evolved out of complex, flexible learned vocalization patterns which at first had no meaning attached to them (something like birdsong).
Sereno, M. I.(2005) Language origins without the semantic urge. Cognitive Science Online, 3, pp. 1-12.
Read on for the abstract.