Life SciencesComputer ScienceNeuroscienceArtificial IntelligenceComputational NeuroscienceNeural EngineeringLearning In Neural SystemsNeural Circuit ModelingNeural ModelingNeural NetworksNeural System ModelingSpiking Neural NetworksActivationIntegrate-and-fire Neuron ModelsNeural Dynamical SystemsNeural DynamicsNeural Network ModelingNeuronal Network DynamicsSpiking Neural Network ModelsTemporal Pattern Analysis
A modified leaky integrator, that is, a neuron model that generates continuous output according to its activation history, is proposed for temporal pattern processing. A modified leaky integrator network is described, and its applicability to temporal pattern processing is discussed theoretically. The learning algorithm for the modified leaky integrator network is presented, and the efficiency in temporal pattern processing is shown through simulations.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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