✦ LIBER ✦

Neural fields with fast learning dynamic kernel

✍ Scribed by A. H. Abbassian; M. Fotouhi; M. Heidari

Book ID: 113041673
Publisher: Springer-Verlag
Year: 2012
Tongue: English
Weight: 740 KB
Volume: 106
Category: Article
ISSN: 0340-1200
DOI: 10.1007/s00422-012-0475-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Dynamic causal modeling with neural fiel

Dynamic causal modeling with neural fields

✍ D.A. Pinotsis; R.J. Moran; K.J. Friston 📂 Article 📅 2012 🏛 Elsevier Science 🌐 English ⚖ 831 KB

Learning low-rank Mercer kernels with fa

Learning low-rank Mercer kernels with fast-decaying spectrum

✍ Binbin Pan; Jianhuang Lai; Pong C. Yuen 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 343 KB

Learning persistent dynamics with neural

Learning persistent dynamics with neural networks

✍ H.A Ceccatto; H.D Navone; H Waelbroeck 📂 Article 📅 1998 🏛 Elsevier Science 🌐 English ⚖ 296 KB

Persistence is one of the most common characteristics of real-world time series. In this work we investigate the process of learning persistent dynamics by neural networks. We show that for chaotic times series the network can get stuck for long training periods in a trivial minimum of the error fun

Neural network indirect adaptive control

Neural network indirect adaptive control with fast learning algorithm

✍ Gi J. Jeon; Insoo Lee 📂 Article 📅 1996 🏛 Elsevier Science 🌐 English ⚖ 680 KB

A fast learning algorithm of neural netw

A fast learning algorithm of neural network with tunable activation function

✍ Yanjun Shen; Bingwen Wang 📂 Article 📅 2004 🏛 Science in China Press (SCP) 🌐 English ⚖ 575 KB

Tracking population densities using dyna

Tracking population densities using dynamic neural fields with moderately strong inhibition

✍ Thomas Trappenberg 📂 Article 📅 2008 🏛 Springer Netherlands 🌐 English ⚖ 590 KB