Abstract
We set out here, in an effort to extend the capacities of recent neurobiological evidence and theories, to propose a computational framework, which gradually accumulates and focuses transited energy as a distribution of incitation in the cortex by means of the interaction and communication between nerve cells within different attributes. In our attempts to simulate the human neural system, we found a reproduction of the corresponding perception pattern from that which is sensed by the brain. The model successfully projects a high-dimensional signal sequence as a lower-dimensional unique pattern, while also indicating the significant active role of nerve cell bodies in the central processing of neural network, rather than a merely passive nonlinear function for input and output.
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Chou, WC., Sun, TY. (2005). The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Biological Inspirations – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3696. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550822_2
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DOI: https://doi.org/10.1007/11550822_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28752-0
Online ISBN: 978-3-540-28754-4
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