analysis and is used primarily in network models.Bifurcation is a mathematical term for a change in the qualitative structure of a dynamical system when a parameter value is changed.Neural oscillations are repetitive or rhythmic changes in the voltage activity of a neuron or a network of neurons....
Neural network-based variational Monte Carlo (NN-VMC) has emerged as a promising cutting-edge technique of ab initio quantum chemistry. However, the high computational cost of existing approaches hinders their applications in realistic chemistry problems
Nonlinear neural patterns are revealed in high frequency functional near infrared spectroscopy analysis Ameer Ghouse, Diego Candia-Rivera, Gaetano Valenza 15 October 2023 Article 110759 View PDF select article EEG cortical network reveals the temporo-spatial mechanism of visual search ...
Feedforward neural networks offer a possible approach for solving differential equations. However, the reliability and accuracy of the approximation still
Article 15 September 2022 Understanding quantum machine learning also requires rethinking generalization Article Open access 13 March 2024 Quantum neural network cost function concentration dependency on the parametrization expressivity Article Open access 20 June 2023 Data...
scope and structure of computational neuroscience.Synaptic-level structure is addressed in chapters that relate the properties of dendritic branches, spines, and synapses to the biophysics of computation and provide a connection between real neuron architectures and neural network simulations.The network-...
Computational Statistics and Data Analysis(CSDA), an Official Publication of the network Computational and Methodological Statistics … Article publishing options Open Access Article Publishing Charge (APC):USD 3,540 (excluding taxes).The amount you pay may be reduced during submission if applicable. ...
Quantum Artificial Neural Network (QANN) is one of the new paradigm built upon the combination of classical neural computation and quantum computation. It has great values for theoretic study and potential to applications. In this paper an attempt is made to show how a single quantum neuron is...
(CNGM). CNGM is concerned with the study and development of dynamic neuronal models for modeling brain functions with respect to genes and dynamic interactions between genes. These include neural network models and their integration with gene network models. This new area brings together knowledge ...
there is no published work on the superlinear convergence of policy iteration for hjb pdes in a function space, nor on the global convergence of policy iteration for solving nonconvex hjbi equations. moreover, this is the first paper which demonstrates the convergence of neural network-based meth...