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ICCAD
2009
IEEE
198views Hardware» more  ICCAD 2009»
15 years 1 months ago
Battery allocation for wireless sensor network lifetime maximization under cost constraints
Wireless sensor networks hold the potential to open new domains to distributed data acquisition. However, such networks are prone to premature failure because some nodes deplete t...
Hengyu Long, Yongpan Liu, Yiqun Wang, Robert P. Di...
IJCNN
2008
IEEE
15 years 9 months ago
Adaptation of barn owl localization system with spike timing dependent plasticity
— To localize a seen object, the superior colliculus of the barn owl integrates the visual and auditory localization cues which are accessed from the sensory system of the brain....
Juan Huo, Alan F. Murray, Leslie Smith, Zhijun Yan...
IJON
2006
77views more  IJON 2006»
15 years 3 months ago
Synchronization effects using a piecewise linear map-based spiking-bursting neuron model
Models of neurons based on iterative maps allows the simulation of big networks of coupled neurons without loss of biophysical properties such as spiking, bursting or tonic bursti...
Carlos Aguirre, Doris Campos, Pedro Pascual, Eduar...
IJCNN
2008
IEEE
15 years 9 months ago
A connection-limited neural network by InfoMax and InfoMin
— It is well known that edge filters in the visual system can be generated by the InfoMax principle. But, such models are nonlinear and employ fully-connected network structures...
Yoshitatsu Matsuda, Kazunori Yamaguchi
JMLR
2010
151views more  JMLR 2010»
14 years 10 months ago
Understanding the difficulty of training deep feedforward neural networks
Whereas before 2006 it appears that deep multilayer neural networks were not successfully trained, since then several algorithms have been shown to successfully train them, with e...
Xavier Glorot, Yoshua Bengio