Results 61 to 70 of about 4,381 (217)

A Novel Analysis of Hopf Bifurcation for a Generalized Binary Fractional‐Order Neural Network Involving Mixed Delays

Journal of Mathematics, Volume 2025, Issue 1, 2025.
This paper provides an extensive binary fractional‐order neural network system with mixed delays consisting of two discrete delays and two distributed delays and emphasizes novel bifurcation methods and theoretical analysis. First, the original system is transformed into a five‐neuron fractional‐order neural network with four delays by introducing ...
Long Li, Yanxia Zhang, Mengxin Chen
wiley   +1 more source

Adaptive Global Synchronization for a Class of Quaternion-Valued Cohen-Grossberg Neural Networks with Known or Unknown Parameters

Mathematics, 2023
In this paper, the adaptive synchronization problem of quaternion-valued Cohen–Grossberg neural networks (QVCGNNs), with and without known parameters, is investigated. On the basis of constructing an appropriate Lyapunov function, and utilizing parameter
Jun Guo, Yanchao Shi, Weihua Luo, Yanzhao Cheng, Shengye Wang   +4 more
doaj   +1 more source

Representations Need Self-Organizing Top-Down Expectations to Fit a Changing World [PDF]

, 1997
The author's model "Chorus embodies an attempt to find out how far a mostly bottom-up approach to representation can be taken" (p. 22). Models which embody both bottom-up and top-down learning have stronger computational properties and explain more data ...
Grossberg, Stephen
core   +1 more source

Neural Models of Temporally Organized Behaviors: Handwriting Production and Working Memory [PDF]

, 1994
Advanced Research Projects Agency (ONR N00014-92-J-4015); Office of Naval Research (N00014-91-J-4100, N00014-92-J ...
Grossberg, Stephen
core   +1 more source

Attracting and Quasi-Invariant Sets of Cohen-Grossberg Neural Networks with Time Delay in the Leakage Term under Impulsive Perturbations

Abstract and Applied Analysis, 2015
A class of impulsive Cohen-Grossberg neural networks with time delay in the leakage term is investigated. By using the method of M-matrix and the technique of delay differential inequality, the attracting and invariant sets of the networks are obtained ...
Guiying Chen, Linshan Wang
doaj   +1 more source

Information Processing with Stability Point Modeling in Cohen–Grossberg Neural Networks

Axioms, 2023
The aim of this article is to develop efficient methods of expressing multilevel structured information from various modalities (images, speech, and text) in order to naturally duplicate the structure as it occurs in the human brain.
Ekaterina Gospodinova, Ivan Torlakov
doaj   +1 more source

The hippocampus and cerebellum in adaptively timed learning, recognition, and movement [PDF]

, 1995
The concepts of declarative memory and procedural memory have been used to distinguish two basic types of learning. A neural network model suggests how such memory processes work together as recognition learning, reinforcement learning, and sensory-motor
Grossberg, Stephen, Merrill, John W. L.
core   +1 more source

Finite-Time and Fixed-Time Synchronization of Memristor-Based Cohen–Grossberg Neural Networks via a Unified Control Strategy

Mathematics
This article focuses on the problem of finite-time and fixed-time synchronization for Cohen–Grossberg neural networks (CGNNs) with time-varying delays and memristor connection weights.
Mei Liu, Binglong Lu, Jinling Wang, Haijun Jiang, Cheng Hu   +4 more
doaj   +1 more source

Periodic Solutions of a Cohen-Grossberg-Type BAM Neural Networks with Distributed Delays and Impulses

Journal of Applied Mathematics, 2012
A class of Cohen-Grossberg-type BAM neural networks with distributed delays and impulses are investigated in this paper. Sufficient conditions to guarantee the uniqueness and global exponential stability of the periodic solutions of such networks are ...
Qiming Liu, Rui Xu
doaj   +1 more source

Resonant Neural Dynamics of Speech Perception [PDF]

, 2002
What is the neural representation of a speech code as it evolves in time? How do listeners integrate temporally distributed phonemic information across hundreds of milliseconds, even backwards in time, into coherent representations of syllables and words?
Grossberg, Stephen
core   +1 more source