Comment Re:Glial communication (Score 1) 75
There are several journal articles and books that explore the effects of indirect neuron-neuron interactions, including glial cells.
This is all a part of a growing belief that while the "direct" interactions are the most significant, the indirect actions, such as electrical fields generated by groupings of neurons are significant in the brain's operation.
And, yes, there are connections between glial cells and neurons, they act, acording to many articles like the bases of transistors, altering the intensity of a neuron's impulse.
Also, since we are mentioning complex methods of communication within the network, the interactions of dendrites (the "outputs" of the neurons) can have suprising amounts of influence on each other in a so called dendretic network, a
minor neural environment at the end of each neuron.
Basically, as time and our knowledge of the brain
has increased, we see that building a brain in
a box by simulation isn't about big hardware alone. It is about understanding how the brain is a marvel of engineering and that we have a long way to go, no matter what catchy TV commercials say.
The following journal articles/books might find
some interest:
Koch, C., Poggio T., & Torre, V. (1983). Nonlinear interactions in a dendritic tree: Localization, timing, and role in information processing.
Proceedings National Academy Sciences USA, 80.
MacLennan, B. J. (1992a). Field Computation in the Brain (report CS-92-174). Knoxville TN: University of Tennessee, Computer Science Department.
MacLennan, B. J. (1992b). Information Processing in the Dendritic Net
(report CS-92-180). Knoxville TN: University of Tennessee, Computer Science Department.
Shepherd, G.M. (1988). Neurobiology, Second Edition.
New York NY: Oxford University Press.
As for software implications, not soon since there are not very good mathematical modeling systems to even start exploring this aspect of neural interactions. Plain old artifical neural networks (with their own variations of interest) will still be your best bet for betting on stocks.
Michael Campfield
Computer Science Department
University of Tennessee, Knoxville
This is all a part of a growing belief that while the "direct" interactions are the most significant, the indirect actions, such as electrical fields generated by groupings of neurons are significant in the brain's operation.
And, yes, there are connections between glial cells and neurons, they act, acording to many articles like the bases of transistors, altering the intensity of a neuron's impulse.
Also, since we are mentioning complex methods of communication within the network, the interactions of dendrites (the "outputs" of the neurons) can have suprising amounts of influence on each other in a so called dendretic network, a
minor neural environment at the end of each neuron.
Basically, as time and our knowledge of the brain
has increased, we see that building a brain in
a box by simulation isn't about big hardware alone. It is about understanding how the brain is a marvel of engineering and that we have a long way to go, no matter what catchy TV commercials say.
The following journal articles/books might find
some interest:
Koch, C., Poggio T., & Torre, V. (1983). Nonlinear interactions in a dendritic tree: Localization, timing, and role in information processing.
Proceedings National Academy Sciences USA, 80.
MacLennan, B. J. (1992a). Field Computation in the Brain (report CS-92-174). Knoxville TN: University of Tennessee, Computer Science Department.
MacLennan, B. J. (1992b). Information Processing in the Dendritic Net
(report CS-92-180). Knoxville TN: University of Tennessee, Computer Science Department.
Shepherd, G.M. (1988). Neurobiology, Second Edition.
New York NY: Oxford University Press.
As for software implications, not soon since there are not very good mathematical modeling systems to even start exploring this aspect of neural interactions. Plain old artifical neural networks (with their own variations of interest) will still be your best bet for betting on stocks.
Michael Campfield
Computer Science Department
University of Tennessee, Knoxville
