51–60 of 81 posts
There are so many differences that one's standard intuitions as a computer scientist can be very misleading... I wrote on this elsewhere: http://blog.memrise.com/2011/05/how-is-memory-stored-in-brai... http://blog.memrise.com/2011/05/how-are-brains-different-fro... For instance: - Storage and parallel computation in the brain are very expansive and cheap, so the brain prefers to store rather than compute where it can…
The question is fundamentally flawed, in that "data structure" is a concept used by programmers to communicate with computers (or between programmers). A comparable question would be wondering whether the computer you are using right now, at this point in time, is inside a for loop, or a while loop, or it's just using tail recursion. Sure some cognitive scientist can make my point more explicit, sorry that all I can…
Yes, isn't our conception of data structures bound up fairly tightly with the available storage media and data buses? We have thought a lot about how to organize and retrieve data on tapes, and spinning disks, and random-access memories composed of discrete little bins, each storing a bit and addressed in rows and columns. But we don't make extensive use of (say) analog computers, or computers with data buses having…
I'm actually really surprised that no one has even mentioned the idea that the brain may be a quantum computer. Check out this Google Tech Talk entitled "Does an Explanation of Higher Brain Function require references to Quantum Mechanics" by Hartmut Neven. http://www.youtube.com/watch?v=4qAIPC7vG3Y
http://www.quantumconsciousness.org/documents/membytespublis... I'll just leave this here
At any given instant there is a set of excited concepts. Then there is some algorithm for time evolution of the excitations.
-> We can perform a visual lookup (identify the circle colored differently from these other circles in this group of circles) in O(1) time. Or if we are asked to locate a friend from an array of people (array fits in field-of-view), we can identify said friend in constant time
-> By nature, we classify objects based on how we use them. So a table and a chair have the same physical 4-legged, flat-top structure. But we differentiate them because we use them differently:
So, my guess :
-> A highly trained decision tree allowing us to perform classification of objects in our environment based on their use. (the training set is whatever is in our field of view and as such we are bombarded with large amounts of data). A hebbian-rule based ANN for training.
For dealing with visual stimulus at-least, I would bet that this is the model we are using right now.
Also, our classifier seems to be operating in parallel on all the objects available in our FOV.
There are multiple. I suppose long-term memory is a hashtable and working memory is a stack ;)
I think long term memory is more organized than a hash table. I base this on observation of my own brain during a bad LSD trip, where I seemed to be aware of how I was reaching decisions. For example, if I looked at a door and wanted to remember what that door was for, I could "see" a vast 2 or 3 dimensional array of hundreds of doors that I had seen before, arranged so that similar doors were near each other, and th…
Earlier quoted context omitted.
How do you account for the fundamentally non-deterministic nature of the universe?
First, non-determinism would have to be demonstrated.
http://www.quantumconsciousness.org/documents/membytespublis... I'll just leave this here
A brief summary for us non-chemist CS kids would be helpful. Thanks.
Earlier quoted context omitted.
First, non-determinism would have to be demonstrated.
The problem is, all the things we don't understand could be labed as non-determined (i.e: quantum particles moving "randomly")