Titlebook: Computational Neuroscience; Wanpracha Chaovalitwongse,Panos M. Pardalos,Petros Book 2010 Springer Science+Business Media, LLC 2010 Master

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Superradiance in Black Hole Physics,t learning algorithms. Using the queuing network as the static platform of brain structure and reinforcement learning as the dynamic algorithm to quantify the learning process, this model successfully accounts for several behavioral phenomena related to the learning process of transcription typing a

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Ernst Abbe and His Contributions to Opticsse optical signals in voltage imaging are small and require several kinds of preprocessing, researchers who use voltage imaging often conduct signal averaging of multiple trials and correction of signals by cutting the noise near the baseline in order to improve the apparent signal–noise ratio. Howe

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Ernst Abbe and His Contributions to Opticsaints. It is a reality, however, that we must face optimization of entire systems in which multiple objective sets make it practically impossible to even formulate objective functions and constraints in the standard closed form. We present a new approach techniques inspired by biomolecular interacti

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Introduction to Topological String Theoriesest improvements in the selection of parameters for the estimation of TE that significantly enhance its accuracy and robustness in identifying the direction and the level of information flow between observed data series generated by coupled complex systems. Second, a new measure, the net transfer of

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An Optimization Approach for Finding a Spectrum of Lyapunov Exponentsithm for solving the optimization model and discuss the computational aspects of the proposed algorithm. To show the efficiency of the algorithm, we apply it to some well-known data sets. Numerical tests show that the algorithm is robust and quite effective, and its performance is comparable with that of other well-known algorithms.

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