I've never said we know nothing about it, of course.
You have said we don't know much, in a number of ways, a number of different times.
And although there are some hypotheses being tossed around, the focus at the moment is just to continue investigating NCCs and see where it goes, which is pretty raw stuff.
Forgive me if I don't take your word for it.
Besides, I quoted them directly so the viewpoints expressed are theirs.
No offense, but I certainly think you are guilty of quote-mining in almost every single case. I absolutely cannot stand quote mining ...
Anyway let's see if the folks I cited have done any actual research....
You realize that it is a double edged sword, and if you are not good at swordplay ( I don't think you are ), you are more likely to hurt yourself, right?
Christof Koch of Caltech, author of
Biophysics of Computation: Information Processing in Single Neurons -- his research focuses on visual systems, information theory, and questions of
machine sentience.
Ok, he definitely sounds like he would know a thing or two. I stand corrected on that front.
On the flipside, just a cursory glance at his research page should convince anyone capable of reading English that he feels the current state of research is beyond "we don't know much," as you claim he would say. He certainly doesn't seem to be just slogging through NCC data with little clue as to how to put it all together.
Ned Block from NYU -- you might be interested in his panel appearance along with Koch and info-theorist Giulio Tononi in the "
Consciousness and Intelligence" seminar of last year's "Brains, Minds, and Machines" symposium at MIT,
which btw I think demonstrates the actual current intersection of neurobiology and info theory.
I disagree with you on this one. This guy is neither a programmer nor a biologist. He is a philosopher and psychologist. Him saying "we don't know much" carries about as much weight with me as Romney saying he could fix global warming.
If you think I don't know about Baars then you really are crazy, especially since the global workspace model is used all over the place in the world of machine consciousness, in fact I am trying to get my colleagues to agree to experiment using it for game AI.
But here is the thing, piggy -- he hasn't actually written a paper since 2002, according to that cv page of his. And here is another thing, piggy -- he is a really smart guy whose position changes over time, you can see that in the history of his work.
So are you going to sit there and honestly tell me you can find quotes of his to the extent of "we don't know much" from anytime in the near past? Even a quote more than 5 years old is irrelevant, given the speed at which research moves forward today.
It sort of boggles my brain that you would consider Bernard Baars as a supporter of the notion that we are still just slogging through NCC data trying to make heads or tails out of it.
V.S. Ramachandran of UC San Diego's Center for Brain and Cognition, who has done some
research.
Yeah, let's talk about quote mining piggy. Quote mining is when you look through something someone has written just to find isolated quotes that could be interpreted as supporting your position. It isn't inherently bad, except that often ( as is the case with you ) the context of the quote is completely changed. Case in point:
Ramachandran's site says "It is ironic that although we now have a vast amount of factual information about the brain, even the most basic questions about the human mind remain unanswered."
Whoah, it looks like you might be correct!! Hmmm.. wait a second though, I should keep reading...
"Why do we laugh, i.e., make a rhythmic sound and bob our heads in certain situations? Why do we cry? Why does a salty liquid flow down our cheeks when sad? How does the human brain create and respond to art? Why do we enjoy music? What causes us to dance? What makes some of us so amazingly creative in mathematics, science, and poetry? How are metaphors represented in the brain? What is "body image" and why does it get distorted in anorexia nervosa? How did language evolve?"
Ohhhh, I see what he means. He means
what humans would consider the most basic questions, not the
fundamental questions. I think it would be slightly dishonest to attribute the position of "we don't know much" to someone like Ramachandran based on a quote taken so out of context, don't you? ( not sure why I'm asking you, since you did it !! ) Let's keep reading though....
"Then there are more basic questions. How do we see color? Why can we pay attention to only one thing at a time? How do we recognize faces so effortlessly?"
Ahh, those are the kinds of things I had in mind. So we don't know much about them??
"Neuroscientists and psychologists have, in the past, shied away from such questions, but our center has become well known for tackling questions such as these experimentally, questions that have traditionally been the preoccupation of philosophers."
Hmmm....so they are actually doing research on these things? Call me crazy, but that doesn't sound like a lab full of people who think "we don't know much."
Michael Gazzaniga who was on the original split-brain study team, led the continuing research, and is the current president of the Cognitive Neuroscience Institute.
I don't even need to touch this one. Please cite a recent quote ( not mined, please keep it in context ) where he says anything remotely similar to "we don't know much."
Steven Pinker of Harvard, advocate of the computational model of mind
Same. Please cite a recent quote ( not mined, please keep it in context ) where he says anything remotely similar to "we don't know much."
So I admit I was partially wrong -- you do actually reference people who know, at least partially, what they are talking about. However I would strongly argue that you are taking their sentiments completely out of context to support your own position. Prove me wrong. Start using recent statements and link to the full articles where you got them. Avoid quote-mining.
EDIT -- what I am trying to figure out is why you are a proclaimed materialist yet you seem to have a desire to "dumb down" the current state of research, almost as if you want to convince people that we know far less than we really know. It is peculiar ...