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IJON
2000
73views more  IJON 2000»
15 years 6 months ago
A recurrent network model for the phase invariance of complex cell responses
Cortical amplification is a mechanism for modifying the selectivity of neurons through recurrent interactions. Although conventionally used to enhance selectivity, cortical amplif...
Frances S. Chance, Sacha B. Nelson, L. F. Abbott
IJBC
2007
72views more  IJBC 2007»
15 years 6 months ago
Centrality Estimation in Large Networks
Centrality indices are an essential concept in network analysis. For those based on shortest-path distances the computation is at least quadratic in the number of nodes, since it ...
Ulrik Brandes, Christian Pich
ETT
2002
142views Education» more  ETT 2002»
15 years 6 months ago
Adaptive state- dependent importance sampling simulation of markovian queueing networks
In this paper, a method is presented for the efficient estimation of rare-event (buffer overflow) probabilities in queueing networks using importance sampling. Unlike previously pr...
Pieter-Tjerk de Boer, Victor F. Nicola
IJHPCA
2002
99views more  IJHPCA 2002»
15 years 6 months ago
Semantic Information Fusion for Coordinated Signal Processing in Mobile Sensor Networks
Distributed cognition of dynamic processes is commonly observed in mobile groups of animates like schools of fish, hunting lions, or in human teams for sports or military maneuvers...
David Friedlander, Shashi Phoha
IJON
2002
123views more  IJON 2002»
15 years 6 months ago
N-bit parity neural networks: new solutions based on linear programming
In this paper, the N-bit parity problem is solved with a neural network that allows direct connections between the input layer and the output layer. The activation function used i...
Derong Liu, Myron E. Hohil, Stanley H. Smith