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» Neural Dynamics with Stochasticity
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HIS
2008
14 years 11 months ago
Neural Plasticity and Minimal Topologies for Reward-Based Learning
Artificial Neural Networks for online learning problems are often implemented with synaptic plasticity to achieve adaptive behaviour. A common problem is that the overall learning...
Andrea Soltoggio
75
Voted
NIPS
2007
14 years 11 months ago
Measuring Neural Synchrony by Message Passing
A novel approach to measure the interdependence of two time series is proposed, referred to as “stochastic event synchrony” (SES); it quantifies the alignment of two point pr...
Justin Dauwels, François B. Vialatte, Tomas...
78
Voted
ICANN
2005
Springer
15 years 3 months ago
CrySSMEx, a Novel Rule Extractor for Recurrent Neural Networks: Overview and Case Study
In this paper, it will be shown that it is feasible to extract finite state machines in a domain of, for rule extraction, previously unencountered complexity. The algorithm used i...
Henrik Jacobsson, Tom Ziemke
78
Voted
SBRN
2006
IEEE
15 years 3 months ago
A Dynamic Classifier Selection Method to Build Ensembles using Accuracy and Diversity
Alixandre Santana, Rodrigo G. F. Soares, Anne M. P...
IJCNN
2008
IEEE
15 years 4 months ago
Biologically realizable reward-modulated hebbian training for spiking neural networks
— Spiking neural networks have been shown capable of simulating sigmoidal artificial neural networks providing promising evidence that they too are universal function approximat...
Silvia Ferrari, Bhavesh Mehta, Gianluca Di Muro, A...