Part II.
And BTW chemicals affect how the neural network functions, so I don't see how various drugs and chemicals could advance any argument that it isn't all about neural networks.
OK, lets set things straight then. This is getting crazy because it feels like each paragraph based response is worthy of an essay all its own. You can take a square peg and if it is small enough fit it into a round hole. Something very similar is going on here.
When talking about neural networks we can either be referring to the artificial or biological kind. If we are talking about biological then drugs will most likely be a consideration of any experimental tissue model. Even then, tissue models are just that, models. They do not include other cells the brain has nor quite likely are they anywhere near as complex as real brain tissue is. If it was as complex there would not be much point in using the experimental tissue model.
If we are talking artificial neural networks and how they advance the argument that it is not all about neural networks, then we have an even worse case. A brain's neurons generally do not line up as perfectly in layers like an artificial network does. There is no well defined input, hidden or output layer. The topology is much more graph-like. Plus, network models (or graph models), only deal with connections.
Say you wanted to model the Electromagnetic Vector Field with neural nets. It does not make a lot of sense to do so. Or maybe you want to model various scalar fields such as chemical densities. Again, this does not work well or at all with neural nets. Or perhaps let's try and do some organic chemistry with neural networks. No, that does not make sense either. Yet, each of those aspects of the brain is no doubt important.
In general, you need more than one tool to analyse a real brain. All of those tools are not neural nets either. Square meet circle.
Last time I checked, so do human brains.
Interesting point. I was actually teasing out to see what you knew about the limitations of neural networks as a model of computation. See the quote by Dewdney below to get a taste of what I am referring to.
But everything you said is irrelevant, given the fact that researchers are making robot brains out of neural networks, that function using the same principles as our brain.
What do you mean by 'brains'. Brains with the same capabilities as animal brains? Sorry, I do not find that to be at all likely. Most of the circuits we create, whether neural network or not, confine electrons to certain paths and damp out EM fields. The physics of any robot "brain" I know of works in quite a few ways differently than an animal brain does. This is a fact.
You are basically telling the wright brothers that they need magic faerie dust to fly, after they already got the plane in the air. Yeah they don't have a fighter jet, but the plane is flying.
Nope, I am saying we have not figured out consciousness yet. That the people who will figure it out are the neuroscientists (with help from whatever fields are relevant). I am saying that my best guess, given all that I have read, is that consciousness has a physical basis (no magic faerie dust needed).
I hate to have to ding you because I know that you are using figures of speech to make your point. It is just that being able to restate accurately someone else's position is a large part of being intellectually honest. For instance, I think the Intelligent Design people are off their rocker. If I wanted to talk about them though I am going to use their own words, not a jestful recapitulation of what I think their position is like.
Please, at any time if I misquote you are otherwise misstate your concepts, let me know immediately. I do not want to be arguing against paper tigers.
20 years ago your theories might have been more relevant, but they just aren't anymore.
Because 20 is when computational neuroscience really started taking off? Consider the following criticism I found through a simple Wikipedia search.
A. K. Dewdney, a former Scientific American columnist, wrote in 1997, "Although neural nets do solve a few toy problems, their powers of computation are so limited that I am surprised anyone takes them
seriously as a general problem-solving tool." (Dewdney, p. 82)
Odd that. Seems like neural nets might not be all they are cracked up to be.
More like how a scientist will repeat known research ad nauseum to people who claim such research doesn't exist.
There exists tons of research on all sorts of topics. I hope that was never at issue. Understanding the brain as primarily being a neural net is a good idea seems to me to be one of your main messages. If such is the case, I am not convinced of this.
I have read too much to know that the dynamics of neural nets is does not adequately cover how the brain functions. Additionally, I do not see how neural nets leads to consciousness either in principle or in some theoretical sense.
Sorry it exists. It exists. It exists. I don't know how else to dress up that information. It exists.
So do neuroscience journals that almost never talk much about neural nets ever. I think you have really grafted onto this idea of neural nets as being so important that it is a good idea to review why. I have seen this kind of behavior before. When Fractals were all the rage then everything was about fractals. Fractals, fractals everywhere.
Your models are too limiting. Being a physics minded person, if I had to model the brain as completely as I could maybe I would use a lattice model. Some other models or combination of known models would be my approach. There are lots of ways to model the brain. Neural nets are just one of many type of models. Most likely they are not even one of the most important ones.
Ok, but I don't really care if you merely acknowledge a statement of mine. I hope you would actually *think* about it, and try to absorb the information, rather than just rushing on to write a response.
Oh, I have thought pretty hard on these subjects. Neural Nets are not new to me. I am pretty sure that maybe some of the things I have said are new to you though (I for instance would be interested in why you think we do not have to understand the Biology of Consciousness before we can recreate it artificially, if I understand your position correctly. Everything else that we recreated from Biology meets that requirement, I just do not see why we can skip past that requirement.). Either way, it is all good. We are not likely to solve it in a few pages in this format.
As far as acknowledgement, no, but to skip wholesale as you did and then jump right into neural nets without even a lead up, well what do you want? It seemed kind of rude to me. Like you are basically saying, "naw, those other subjects do not matter".
Why? Not because you showed them to be really irrelevant in their given context. It was because in your own mind the only thing that is important is talking about robots controlled by neural nets or something.
I am sorry, I am not very impressed by neural network controlled robots. I find the subject to be worthy of study. It has helped in understanding the bigger picture of the universe. I wonder though, would you claim that because these robots have neural nets they are conscious? If so, you are going to have to do a lot more work to convince me of that supposed fact.
I did, when you answer the questions I posed we can get deeper into it.
Very well. I appreciate your response.
Just a last quick word. I do not think rocketdodger that you understand what is meant by the word 'consciousness' as used when referring to what it is like to be something (what some call phenomenal consciousness). I think abstraction has occluded the reality of the concept of experience (or degraded it to the point that everything must be stated in terms of mental models).
I see this in Dennett too. I am not saying this to be disparaging. It kind of makes me sad in a way when someone, possibly because of prior training or just turn of mind, can not seem to grasp an important concept.
The world turns on though.