Convergent activation dynamics in continuous time networks

Original Contribution: The construction of arbitrary stable dynamics in nonlinear neural networks

Neural Networks

Original Contribution: Dynamic link of memory-Chaotic memory map in nonequilibrium neural networks

Neural Networks

Original Contribution: Stable, oscillatory, and chaotic regimes in the dynamics of small neural networks with delay

Neural Networks

For neural networks, function determines form

Neural Networks

Original Contribution: Approximation of dynamical systems by continuous time recurrent neural networks

Neural Networks

Original Contribution: The “off line learning approximation” in continuous time neural networks: An adiabatic theorem

Neural Networks

Original Contribution: Averaged neural networks

Neural Networks

Mapping a complex temporal problem into a combination of static and dynamic neural networks

ACM SIGART Bulletin

Constructing deterministic finite-state automata in recurrent neural networks

Journal of the ACM (JACM)

Effect of delay on the boundary of the basin of attraction in a self-excited single graded-response neuron

Neural Computation

Absence of cycles in symmetric neural networks

Neural Computation

Exponential stability of Cohen-Grossberg neural networks

Neural Networks

Global convergence rate of recurrently connected neural networks

Neural Computation

New conditions on global stability of Cohen-Grossberg neural networks

Neural Computation

Necessary and sufficient condition for absolute stability of normal neural networks

Neural Networks

A Neural Network-Based Blind Multiuser Receiver for DS-CDMA Communication Systems

Wireless Personal Communications: An International Journal

Analyzing stability of equilibrium points in neural networks: a general approach

Neural Networks

Incremental training of first order recurrent neural networks to predict a context-sensitive language

Neural Networks

A comparative study of two modeling approaches in neural networks

Neural Networks

Discrimination networks for maximum selection

Neural Networks

A LEARNING ALGORITHM FOR DISCRETE-TIME STOCHASTIC CONTROL

Probability in the Engineering and Informational Sciences

Adaptive multivariate three-timescale stochastic approximation algorithms for simulation based optimization

ACM Transactions on Modeling and Computer Simulation (TOMACS)

On the global output convergence of a class of recurrent neural networks with time-varying inputs

Neural Networks

Dynamical behaviors of Cohen-Grossberg neural networks with discontinuous activation functions

Neural Networks

Some Generalized Sufficient Convergence Criteria for Nonlinear Continuous Neural Networks

Neural Computation

Dynamical Behaviors of a Large Class of General Delayed Neural Networks

Neural Computation

Dynamical Stability Conditions for Recurrent Neural Networks with Unsaturating Piecewise Linear Transfer Functions

Neural Computation

Exponential Convergence of Delayed Dynamical Systems

Neural Computation

A composite neural network model for perseveration and distractibility in the Wisconsin card sorting test

Neural Networks

New necessary and sufficient conditions for absolute stability of neural networks

Neural Networks

Parameter space structure of continuous-time recurrent neural networks

Neural Computation

Adaptive Newton-based multivariate smoothed functional algorithms for simulation optimization

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Global exponential periodicity and global exponential stability of a class of recurrent neural networks with various activation functions and time-varying delays

Neural Networks

Asymptotic behavior of discrete solutions to delayed neural networks with impulses

Neurocomputing

Almost periodic dynamics of a class of delayed neural networks with discontinuous activations

Neural Computation

Bifurcation analysis in a discrete-time single-directional network with delays

Neurocomputing

A smoothing regularizer for feedforward and recurrent neural networks

Neural Computation

First-order recurrent neural networks and deterministic finite state automata

Neural Computation

Dynamics of discrete time, continuous state hopfield networks

Neural Computation

Monostable Controllers for Adaptive Behaviour

SAB '08 Proceedings of the 10th international conference on Simulation of Adaptive Behavior: From Animals to Animats

A mathematical analysis of the effects of hebbian learning rules on the dynamics and structure of discrete-time random recurrent neural networks

Neural Computation

A New Learning Algorithm for Optimal Stopping

Discrete Event Dynamic Systems

Optimal parameter trajectory estimation in parameterized SDEs: An algorithmic procedure

ACM Transactions on Modeling and Computer Simulation (TOMACS)

A critical global convergence analysis of recurrent neural networks with general projection mappings

Neurocomputing

Reinforcement Learning: A Tutorial Survey and Recent Advances

INFORMS Journal on Computing

Fast gradient-descent methods for temporal-difference learning with linear function approximation

ICML '09 Proceedings of the 26th Annual International Conference on Machine Learning

Nonnegative Periodic Dynamics of Cohen-Grossberg Neural Networks with Discontinuous Activations and Discrete Time Delays

ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks

The Periodic Solution of a Class of Two Neurons Hopfield Network with Distributed Delay

ISNN '09 Proceedings of the 6th International Symposium on Neural Networks on Advances in Neural Networks

Properties of variations in the periods of ring neural oscillators with noise

Neurocomputing

Global asymptotic stability of neural networks with discontinuous activations

Neural Networks

Natural actor-critic algorithms

Automatica (Journal of IFAC)

Extended LaSalle's invariance principle for full-range cellular neural networks

EURASIP Journal on Advances in Signal Processing - CNN technology for spatiotemporal signal processing

Convergence in networks with counterclockwise neural dynamics

IEEE Transactions on Neural Networks

A neural network model to minimize the connected dominating set for self-configuration of wireless sensor networks

IEEE Transactions on Neural Networks

Complex and chaotic dynamics in a discrete-time-delayed Hopfield neural network with ring architecture

Neural Networks

A linguistic CMAC equivalent to a linguistic decision tree for classification

IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks

Delay-dependent exponential stability for a class of neural networks with time delays

Journal of Computational and Applied Mathematics

A proof of convergence of the B-RED and P-RED algorithms for random early detection

IEEE Communications Letters

Global exponential stability of discrete-time Cohen-Grossberg neural networks

Neurocomputing

Dynamics of solution for a class of delayed diffusive neural networks with mixed boundary conditions

Neurocomputing

Dynamic analysis of a general class of winner-take-all competitive neural networks

IEEE Transactions on Neural Networks

Nonnegative periodic dynamics of delayed Cohen-Grossberg neural networks with discontinuous activations

Neurocomputing

Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks

IEEE Transactions on Neural Networks

Properties of the transmission of pulse sequences in a bistable chain of unidirectionally coupled neurons

Neurocomputing

An efficient algorithm for scheduling in bluetooth piconets and scatternets

Wireless Networks

Stochastic approximation algorithms for constrained optimization via simulation

ACM Transactions on Modeling and Computer Simulation (TOMACS)

Existence and stability of periodic solution in a class of impulsive neural networks

ISNN'05 Proceedings of the Second international conference on Advances in Neural Networks - Volume Part I

Optimal multi-layered congestion based pricing schemes for enhanced QoS

Computer Networks: The International Journal of Computer and Telecommunications Networking

Oscillatory behavior for a class of recurrent neural networks with time-varying input and delays

ICIC'11 Proceedings of the 7th international conference on Intelligent Computing: bio-inspired computing and applications

Neural network adaptive robust control of nonlinear systems in semi-strict feedback form

Automatica (Journal of IFAC)

2012 Special Issue: Nonlinear dynamics and chaos in fractional-order neural networks

Neural Networks

Frustration and overblocking on graphs

Mathematical and Computer Modelling: An International Journal

RETRACTED: Bifurcations and chaos in a discrete-time-delayed Hopfield neural network with ring structures and different internal decays

Neurocomputing

On global asymptotic stability for a class of delayed neural networks

International Journal of Circuit Theory and Applications

Optimal design of neuro-mechanical oscillators

Computers and Structures

Adaptive Smoothed Functional Algorithms for Optimal Staffing Levels in Service Systems

Service Science