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JCNS
2010
103views more  JCNS 2010»
13 years 3 months ago
Efficient computation of the maximum a posteriori path and parameter estimation in integrate-and-fire and more general state-spa
A number of important data analysis problems in neuroscience can be solved using state-space models. In this article, we describe fast methods for computing the exact maximum a pos...
Shinsuke Koyama, Liam Paninski
IJCNN
2006
IEEE
14 years 3 months ago
A computational intelligence-based criterion to detect non-stationarity trends
—The stationarity hypothesis is largely and implicitly assumed when designing classifiers (especially those for industrial applications) but it does not generally hold in practic...
Cesare Alippi, Manuel Roveri
CEC
2008
IEEE
14 years 3 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
NECO
2007
112views more  NECO 2007»
13 years 8 months ago
Distortion of Neural Signals by Spike Coding
Analog neural signals must be converted into spike trains for transmission over electrically leaky axons. This spike encoding and subsequent decoding leads to distortion. We quant...
David H. Goldberg, Andreas G. Andreou
ICANN
2005
Springer
14 years 2 months ago
A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability
While synaptic learning mechanisms have always been a core topic of neural computation research, there has been relatively little work on intrinsic learning processes, which change...
Jochen Triesch