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DELTA
2008
IEEE
15 years 8 months ago
A Spiking Neural Network for Gas Discrimination Using a Tin Oxide Sensor Array
We propose a bio-inspired signal processing method for odor discrimination. A spiking neural network is trained with a supervised learning rule so as to classify the analog outputs...
Maxime Ambard, Bin Guo, Dominique Martinez, Amine ...
ECMDAFA
2009
Springer
111views Hardware» more  ECMDAFA 2009»
15 years 4 months ago
Experiences of Developing a Network Modeling Tool Using the Eclipse Environment
Domain-specific modeling solutions have been promoted for some time in order to improve the productivity of software developers by providing them with modeling environments that ar...
Andy Evans, Miguel A. Fernández, Parastoo M...
RECOMB
2004
Springer
16 years 6 months ago
Modeling and Analysis of Heterogeneous Regulation in Biological Networks
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Irit Gat-Viks, Amos Tanay, Ron Shamir
NIPS
2004
15 years 7 months ago
Maximising Sensitivity in a Spiking Network
We use unsupervised probabilistic machine learning ideas to try to explain the kinds of learning observed in real neurons, the goal being to connect abstract principles of self-or...
Anthony J. Bell, Lucas C. Parra
PERCOM
2005
ACM
16 years 6 months ago
Hoarding Content in M-Learning Context
With the advances in mobile technologies is now possible to support learners and teachers activities on the move. We analyzed the functionalities that should be provided by a gene...
Anna Trifonova, Marco Ronchetti