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2. A Gaussian Dynamic Convolution Models of the FMRI BOLD Response.
3. A Neural Model on Cognitive Process.
4. The Essential Approximation Order for Neural Networks with Trigonometric Hidden Layer Units.
5. Wavelets Based Neural Network for Function Approximation.
6. Passivity Analysis of Dynamic Neural Networks with Different Time-Scales.
7. Exponential Dissipativity of Non-autonomous Neural Networks with Distributed Delays and Reaction-Diffusion Terms.
8. Global Exponential Stability in Lagrange Sense of Continuous-Time Recurrent Neural Networks.
9. New Criteria of Global Exponential Stability for a Class of Generalized Neural Networks with Time-Varying Delays.
10. Dynamics of General Neural Networks with Distributed Delays.
11. On Equilibrium and Stability of a Class of Neural Networks with Mixed Delays.
12. Global Asymptotical Stability in Neutral-Type Delayed Neural Networks with Reaction-Diffusion Terms.
13. Almost Sure Exponential Stability on Interval Stochastic Neural Networks with Time-Varying Delays.
14. Stochastic Robust Stability of Markovian Jump Nonlinear Uncertain Neural Networks with Wiener Process.
15. Stochastic Robust Stability Analysis for Markovian Jump Discrete-Time Delayed Neural Networks with Multiplicative Nonlinear Perturbations.
16. Global Robust Stability of General Recurrent Neural Networks with Time-Varying Delays.
17. Robust Periodicity in Recurrent Neural Network with Time Delays and Impulses.
18. Global Asymptotical Stability of Cohen-Grossberg Neural Networks with Time-Varying and Distributed Delays.
19. Existence and Global Stability Analysis of Almost Periodic Solutions for Cohen- Grossberg Neural Networks.
20. A New Sufficient Condition on the Complete Stability of a Class Cellular Neural Networks.
21. Stability Analysis of Reaction-Diffusion Recurrent Cellular Neural Networks with Variable Time Delays.
22. Exponential Stability of Delayed Stochastic Cellular Neural Networks.
23. Global Exponential Stability of Cellular Neural Networks with Time-Varying Delays and Impulses.
24. Global Exponential Stability of Fuzzy Cellular Neural Networks with Variable Delays.
25. Stability of Fuzzy Cellular Neural Networks with Impulses.
26. Absolute Stability of Hopfield Neural Network.
27. Asymptotic Stability of Second-Order Discrete-Time Hopfield Neural Networks with Variable Delays.
28. Convergence Analysis of Discrete Delayed Hopfield Neural Networks.
29. An LMI-Based Approach to the Global Stability of Bidirectional Associative Memory Neural Networks with Variable Delay.
30. On Control of Hopf Bifurcation in BAM Neural Network with Delayed Self-feedback.
31. Convergence and Periodicity of Solutions for a Class of Discrete-Time Recurrent Neural Network with Two Neurons.
32. Global Synchronization of Impulsive Coupled Delayed Neural Networks.
33. Synchronization of a Class of Coupled Discrete Recurrent Neural Networks with Time Delay.
34. Synchronization of Chaotic System with the Perturbation Via Orthogonal Function Neural Network.
35. Numerical Analysis of a Chaotic Delay Recurrent Neural Network with Four Neurons.
36. Autapse Modulated Bursting.
37. A Recurrent Neural Network for Linear Fractional Programming with Bound Constraints.
38. A Delayed Lagrangian Network for Solving Quadratic Programming Problems with Equality Constraints.
39. Wavelet Chaotic Neural Networks and Their Application to Optimization Problems.
40. A New Neural Network Approach to the Traveling Salesman Problem.
41. A Concise Functional Neural Network for Computing the Extremum Eigenpairs of Real Symmetric Matrices.
42. Learning with Single Quadratic Integrate-and-Fire Neuron.
43. Manifold Learning of Vector Fields.
44. Similarity Measure for Vector Field Learning.
45. The Mahalanobis Distance Based Rival Penalized Competitive Learning Algorithm.
46. Dynamic Competitive Learning.
47. Hyperbolic Quotient Feature Map for Competitive Learning Neural Networks.
48. A Gradient Entropy Regularized Likelihood Learning Algorithm on Gaussian Mixture with Automatic Model Selection.
49. Self-organizing Neural Architecture for Reinforcement Learning.
50. On the Efficient Implementation Biologic Reinforcement Learning Using Eligibility Traces.
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