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,...
Thepurposeof this paperis to extendverificationtests to systemswith multiple autonomousagent knowledge bases.Usinga classic approachto verification, this paperfocuseson tests conc...
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...
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...
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...