✦ LIBER ✦

Analysis of ongoing dynamics in neural networks

✍ Scribed by Toru Yanagawa; Ken Mogi

Book ID: 116776086
Publisher: Elsevier Science
Year: 2009
Tongue: English
Weight: 556 KB
Volume: 64
Category: Article
ISSN: 0168-0102
DOI: 10.1016/j.neures.2009.02.011

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Analysis of neural networks with chaotic

Analysis of neural networks with chaotic dynamics

✍ François Chapeau-Blondeau 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 535 KB

Dynamic Analysis of Stochastic Recurrent

Dynamic Analysis of Stochastic Recurrent Neural Networks

✍ Chuangxia Huang; Yigang He; Ping Chen 📂 Article 📅 2008 🏛 Springer US 🌐 English ⚖ 178 KB

Analysis of chaotic population dynamics

Analysis of chaotic population dynamics using artificial neural networks

✍ E.B. Bartlett 📂 Article 📅 1991 🏛 Elsevier Science 🌐 English ⚖ 608 KB

Stability analysis of cellular neural ne

Stability analysis of cellular neural networks with nonlinear dynamics

✍ Angela Slavova 📂 Article 📅 2001 🏛 Elsevier Science 🌐 English ⚖ 112 KB

Dynamics of hierarchical neural networks

✍ Marc-Thorsten Hütt; Mark Müller-Linow; Claus C Hilgetag 📂 Article 📅 2009 🏛 BioMed Central 🌐 English ⚖ 131 KB

Hamiltonian dynamics of neural networks

✍ Ulrich Ramacher 📂 Article 📅 1993 🏛 Elsevier Science 🌐 English ⚖ 874 KB

The activation and weight dynamics of Artificial Neural Networks are derived from a partial differential equation (PDE) that may incorporate weights either as parameters or variables. It is shown that a single first-order Hamilton-Jacobi "parametricai" PDE suffices to derive the various neurodynamic