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ICANN
2010
Springer
15 years 5 months ago
Recurrence Enhances the Spatial Encoding of Static Inputs in Reservoir Networks
We shed light on the key ingredients of reservoir computing and analyze the contribution of the network dynamics to the spatial encoding of inputs. Therefore, we introduce attracto...
Christian Emmerich, René Felix Reinhart, Jo...
NIPS
1998
15 years 5 months ago
Computational Differences between Asymmetrical and Symmetrical Networks
Symmetrically connected recurrent networks have recently been used as models of a host of neural computations. However, biological neural networks have asymmetrical connections, at...
Zhaoping Li, Peter Dayan

Publication
195views
14 years 2 months ago
Analog Genetic Encoding for the Evolution of Circuits and Networks
This paper describes a new kind of genetic representation called analog genetic encoding (AGE). The representation is aimed at the evolutionary synthesis and reverse engineering of...
Claudio Mattiussi, Dario Floreano
JMLR
2010
160views more  JMLR 2010»
14 years 11 months ago
Neural conditional random fields
We propose a non-linear graphical model for structured prediction. It combines the power of deep neural networks to extract high level features with the graphical framework of Mar...
Trinh Minh Tri Do, Thierry Artières
CCE
2008
15 years 4 months ago
Differential recurrent neural network based predictive control
An efficient algorithm to train general differential recurrent neural networks is proposed. The trained network can be directly used as the internal model of a predictive controll...
R. K. Al Seyab, Yi Cao