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AGI
2011
12 years 8 months ago
What Makes a Brain Smart? Reservoir Computing as an Approach for General Intelligence
Abstract. Recurrent connectivity, balanced between excitation and inhibition, is a general principle of cortical connectivity. We propose that balanced recurrence can be achieved b...
Janelle Szary, Bryan Kerster, Christopher T. Kello
IJCNN
2008
IEEE
13 years 11 months ago
Band-pass Reservoir Computing
— Many applications of Reservoir Computing (and other signal processing techniques) have to deal with information processing of signals with multiple time-scales. Classical Reser...
Francis Wyffels, Benjamin Schrauwen, David Verstra...
ICANN
2010
Springer
13 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...
CLADE
2008
IEEE
13 years 6 months ago
A grid-enabled workflow system for reservoir uncertainty analysis
Reservoir uncertainty analysis is significant for petroleum engineers for predictions of reservoir performance. However, analysis of reservoir performance uncertainty is challengi...
Emrah Ceyhan, Gabrielle Allen, Christopher D. Whit...
ICONIP
2010
13 years 3 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada