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117
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BC
2000
77views more  BC 2000»
15 years 2 months ago
Generic origins of irregular spiking in neocortical networks
We identify generic sources of complex and irregular spiking in biological neural networks. For the network description, we operate on a mathematically exact mesoscopic approach. S...
Ruedi Stoop, L. A. Bunimovich, Willi-Hans Steeb
ACSC
2008
IEEE
15 years 4 months ago
An investigation of the state formation and transition limitations for prediction problems in recurrent neural networks
Recurrent neural networks are able to store information about previous as well as current inputs. This "memory" allows them to solve temporal problems such as language r...
Angel Kennedy, Cara MacNish
95
Voted
NECO
2010
75views more  NECO 2010»
14 years 9 months ago
How to Modify a Neural Network Gradually Without Changing Its Input-Output Functionality
Christopher DiMattina, Kechen Zhang
ACG
2003
Springer
15 years 7 months ago
Evaluation in Go by a Neural Network using Soft Segmentation
In this article a neural network architecture is presented that is able to build a soft segmentation of a two-dimensional input. This network architecture is applied to position ev...
Markus Enzenberger