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IJON
2006
84views more  IJON 2006»
13 years 7 months ago
Dynamic regulation of spike-timing dependent plasticity in electrosensory processing
This study investigates the control of spike-timing dependent plasticity (STDP) by regulation of the dendritic spike threshold of the postsynaptic neuron. The control of synaptic ...
Patrick D. Roberts, Gerardo Lafferriere, Nathaniel...
AIME
2007
Springer
13 years 11 months ago
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes
Abstract. Disease processes in patients are temporal in nature and involve uncertainty. It is necessary to gain insight into these processes when aiming at improving the diagnosis,...
Stefan Visscher, Peter J. F. Lucas, Ildikó ...
IJCNN
2000
IEEE
14 years 4 days ago
Evolving Neural Network Structures Using Axonal Growth Mechanisms
In the eld of arti cial evolution creating methods to evolve neural networks is an important goal. But how to encode the structure and properties of the neural network in the geno...
Peter Eggenberger
NIPS
2004
13 years 9 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
ENTCS
2011
99views more  ENTCS 2011»
13 years 2 months ago
Symmetry and Composition in Probabilistic Theories
The past decade has seen a remarkable resurgence of the old programme of finding more or less a priori axioms for the mathematical framework of quantum mechanics. The new impetus...
Alexander Wilce