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GECCO
2007
Springer
149views Optimization» more  GECCO 2007»
14 years 6 days ago
Dendritic cells for SYN scan detection
Artificial immune systems have previously been applied to the problem of intrusion detection. The aim of this research is to develop an intrusion detection system based on the fu...
Julie Greensmith, Uwe Aickelin
JCNS
2010
90views more  JCNS 2010»
13 years 26 days ago
Fast Kalman filtering on quasilinear dendritic trees
Optimal filtering of noisy voltage signals on dendritic trees is a key problem in computational cellular neuroscience. However, the state variable in this problem -- the vector of...
Liam Paninski
IJON
2002
80views more  IJON 2002»
13 years 5 months ago
Novel dynamics of dendritic integration in the high conductance state of cortical neurons
Neocortical neurons in vivo operate in a high-conductance state which may a ect the dynamics of dendritic integration, but this aspect remains only barely characterized. We invest...
Michael Rudolph, Alain Destexhe
IJCNN
2007
IEEE
14 years 10 days ago
Character Recognition using Spiking Neural Networks
— A spiking neural network model is used to identify characters in a character set. The network is a two layered structure consisting of integrate-and-fire and active dendrite n...
Ankur Gupta, Lyle N. Long
CORR
2010
Springer
150views Education» more  CORR 2010»
13 years 6 months ago
Dendritic Cells for Real-Time Anomaly Detection
Dendritic Cells (DCs) are innate immune system cells which have the power to activate or suppress the ystem. The behaviour of human DCs is abstracted to form an algorithm suitable...
Julie Greensmith, Uwe Aickelin