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Full-Text Articles in Physical Sciences and Mathematics
N-Methyl-D-Aspartate Channel And Consciousness: From Signal Coincidence Detection To Quantum Computing, Armando F. Rocha, Alfredo Pereira Jr
N-Methyl-D-Aspartate Channel And Consciousness: From Signal Coincidence Detection To Quantum Computing, Armando F. Rocha, Alfredo Pereira Jr
Armando F Rocha
Research on Blindsight, Neglect/Extinction and Phantom limb syndromes, as well as electrical measurements of mammalian brain activity, have suggested the dependence of vivid perception on both incoming sensory information at primary sensory cortex and reentrant information from associative cortex. Coherence between incoming and reentrant signals seems to be a necessary condition for (conscious) perception. General reticular activating system and local electrical synchronization are some of the tools used by the brain to establish coarse coherence at the sensory cortex, upon which biochemical processes are coordinated. Besides electrical synchrony and chemical modulation at the synapse, a central mechanism supporting such a …
Numerical Solution Of Fuzzy Differential Equation By Runge-Kutta Method, S. Abbasbandy, T. Allah Viranloo
Numerical Solution Of Fuzzy Differential Equation By Runge-Kutta Method, S. Abbasbandy, T. Allah Viranloo
Saeid Abbasbandy
In this paper numerical algorithms for solving 'fuzzy ordinary differential equations' are considered. A scheme based on the 4th Runge-Kutta method in detail is discussed and this is followed by a complete error analysis. The algorithm is illustrated by solving some linear and nonlinear fuzzy Cauchy problems.
Numerical Solution Of Fuzzy Differential Equation By Runge-Kutta Method Of Order 2, S. Abbasbandy, T. Allah Viranloo
Numerical Solution Of Fuzzy Differential Equation By Runge-Kutta Method Of Order 2, S. Abbasbandy, T. Allah Viranloo
Saeid Abbasbandy
In this paper numerical algorithms for solving 'fuzzy ordinary differential equations' are considered. A scheme on the 2nd Rung-Kutta method in detail is discussed and this is followed by a complete error analysis. The algorithm is illustrated by solving some linear and nonlinear fuzzy Cauchy problems.