Sciweavers

85 search results - page 3 / 17
» Recurrent Neural Networks for Music Computation
Sort
View
NIPS
1998
15 years 29 days 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
72
Voted
FOCI
2007
IEEE
15 years 6 months ago
Emergence of Scale-free Spike Flow Graphs in Recurrent Neural Networks
Filip Piekniewski, Tomasz Schreiber
94
Voted
ICANN
2010
Springer
15 years 21 days 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...
79
Voted
ICONIP
2007
15 years 1 months ago
Practical Recurrent Learning (PRL) in the Discrete Time Domain
One of the authors has proposed a simple learning algorithm for recurrent neural networks, which requires computational cost and memory capacity in practical order O(n2 )[1]. The a...
Mohamad Faizal Bin Samsudin, Takeshi Hirose, Katsu...
NECO
2010
147views more  NECO 2010»
14 years 10 months ago
Connectivity, Dynamics, and Memory in Reservoir Computing with Binary and Analog Neurons
Abstract: Reservoir Computing (RC) systems are powerful models for online computations on input sequences. They consist of a memoryless readout neuron which is trained on top of a ...
Lars Büsing, Benjamin Schrauwen, Robert A. Le...