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» Neuronal Models with Current Inputs
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JCNS
2000
104views more  JCNS 2000»
13 years 9 months ago
Subthreshold Voltage Noise Due to Channel Fluctuations in Active Neuronal Membranes
Abstract. Voltage-gated ion channels in neuronal membranes fluctuate randomly between different conformational states due to thermal agitation. Fluctuations between conducting and ...
Peter N. Steinmetz, Amit Manwani, Christof Koch, M...
GRAPHICSINTERFACE
2003
13 years 11 months ago
Input-based Language Modelling in the Design of High Performance Text Input Techniques
We present a critique of language-based modelling for text input research, and propose an alternative inputbased approach. Current language-based statistical models are derived fr...
R. William Soukoreff, I. Scott MacKenzie
ICST
2009
IEEE
14 years 4 months ago
Test Input Generation Using UML Sequence and State Machines Models
We propose a novel testing approach that combines information from UML sequence models and state machine models. Current approaches that rely solely on sequence models do not cons...
Aritra Bandyopadhyay, Sudipto Ghosh
ICNC
2005
Springer
14 years 3 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
NPL
2000
88views more  NPL 2000»
13 years 9 months ago
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Nonlinear dendritic processing appears to be a feature of biological neurons and would also be of use in many applications of artificial neural networks. This paper presents a mod...
Michael W. Spratling, Gillian Hayes