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NECO
2006
103views more  NECO 2006»
13 years 7 months ago
Optimal Spike-Timing-Dependent Plasticity for Precise Action Potential Firing in Supervised Learning
In timing-based neural codes, neurons have to emit action potentials at precise moments in time. We use a supervised learning paradigm to derive a synaptic update rule that optimi...
Jean-Pascal Pfister, Taro Toyoizumi, David Barber,...
DEXAW
1998
IEEE
96views Database» more  DEXAW 1998»
13 years 11 months ago
Verification of Multiple Agent Knowledge-Based Systems
Thepurposeof this paperis to extendverificationtests to systemswith multiple autonomousagent knowledge bases.Usinga classic approachto verification, this paperfocuseson tests conc...
Daniel E. O'Leary
EUSFLAT
2001
13 years 8 months ago
The similarity of a class of adaptive fuzzy controllers and a time dependent single rule controller of Takagi-Sugeno model
This paper presents the similarity of a class of adaptive fuzzy controllers and a time dependent single rule controller of TakagiSugeno (TS) model. The class of adaptive fuzzy con...
Mohammad Rohmanuddin
DEXA
1998
Springer
112views Database» more  DEXA 1998»
13 years 11 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis
IJON
2006
70views more  IJON 2006»
13 years 7 months ago
A self-organizing map with homeostatic synaptic scaling
Hebbian learning has been a staple of neural-network models for many years. It is well known that the most straight-forward implementations of this popular learning rule lead to u...
Thomas J. Sullivan, Virginia R. de Sa