X - International Journal of Information Science and Computer Mathematics (Closed Ed TRF)
Volume 1, Issue 2, Pages 107 - 112
(May 2010)
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RETRIEVING INFORMATION FROM BRAIN WITH BLOCKING POTENTIAL PRELIMINARIES
K. Muthuramalingam and A. Gowri
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Abstract:
The rapid development of new learning algorithm increases the need of improved accuracy. Moreover, the method allowing comparison of several learning algorithms is important for the performance and the evaluation of new one. Human brain can be regarded as sophisticated processing system, capable of general computation and flexibility. The solution must be balanced in all constrains, which should be adjustable and reliable. It tries to propose a new view for retrieving the information stored in the brain. The core contribution resides in the scrutiny of brain at neuron level based on blocking potential actions. The theories outlined here are fairly physiological oriented, although the level of neuroscience rigor is relatively low, in order to provide a new insight and understanding rather than to establish rigorous physical foundation. |
| Keywords and phrases: neurons, action potentials, human memories, dendritic trees, primary memory stack. |
| Communicated by N. Ch. S. N. Iyengar |
| Number of Downloads: 71 | Number of Views: 261 |
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