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NC
1998
140views Neural Networks» more  NC 1998»
15 years 4 months ago
Recurrent Neural Networks with Iterated Function Systems Dynamics
We suggest a recurrent neural network (RNN) model with a recurrent part corresponding to iterative function systems (IFS) introduced by Barnsley 1] as a fractal image compression ...
Peter Tiño, Georg Dorffner
COMBINATORICS
2006
162views more  COMBINATORICS 2006»
15 years 3 months ago
Bounding the Partition Function of Spin-Systems
With a graph G = (V, E) we associate a collection of non-negative real weights vV {i,v : 1 i m} uvE{ij,uv : 1 i j m}. We consider the probability distribution on {f : V {1,...
David J. Galvin
122
Voted
IJON
2007
85views more  IJON 2007»
15 years 3 months ago
Hierarchical dynamical models of motor function
Hierarchical models of motor function are described in which the motor system encodes a hierarchy of dynamical motor primitives. The models are based on continuous attractor neura...
Simon M. Stringer, Edmund T. Rolls
114
Voted
EUROCAST
1997
Springer
85views Hardware» more  EUROCAST 1997»
15 years 7 months ago
Turing Universality of Neural Nets (Revisited)
We show how to use recursive function theory to prove Turing universality of finite analog recurrent neural nets, with a piecewise linear sigmoid function as activation function. W...
João Pedro Guerreiro Neto, Hava T. Siegelma...
IPMI
2009
Springer
16 years 4 months ago
Multimodal Functional Imaging Using fMRI-Informed Regional EEG/MEG Source Estimation
Abstract. We propose a novel method, fMRI-Informed Regional Estimation (FIRE), which utilizes information from fMRI in E/MEG source reconstruction. FIRE takes advantage of the spat...
Aapo Nummenmaa, Matti Hämäläinen, P...