Abstract
Neural networks started to be developed around the idea of creating models of real neural systems because of the existing need in understanding how biological systems work. New areas of neural computing are trying to make at least one step beyond what digital computing means. The key point is based on learning rather than programming. We designed a mathematical model for information processing. The neuron model is viewed from inside as a feedback system that controls the information flow. The process of learning at ”molecular” level (internal neural learning), under the form of a computational algorithm inspired by a real brain functioning, has been introduced.
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Morogan, L. (2011). View from Inside One Neuron. In: Snasel, V., Platos, J., El-Qawasmeh, E. (eds) Digital Information Processing and Communications. ICDIPC 2011. Communications in Computer and Information Science, vol 188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22389-1_17
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DOI: https://doi.org/10.1007/978-3-642-22389-1_17
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