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Modeling of a Neural Pattern Generator with Coupled Nonlinear Oscillators
Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition
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activity Adaline adaptive filter amplitude analog Artificial Neural Networks associated attractor bifurcations Biol biped brain cells channels chaos chaotic dynamics circuit clusters coherence complex connection strengths correlation corresponding cortex coupled coupled oscillators curve delay line desired response digit dynamic system equations example excitatory feature detectors feedback Figure fractal Freeman frequency fully connected network function G-cell heart rate Hopfield IEEE inhibitory initial conditions input pattern interaction layer mechanisms mitral cells network model neural oscillators neural systems neurons noise nonlinear olfactory system oscillators output parameters Patt pattern recognition period period-doubling bifurcations phase Phys plot points postsynaptic potential presented Proc properties pulse quantized random receptive fields receptors Recognition Accuracy recognition units rhythmic scale sensory shown in Fig simulation slow synaptic spatial speech recognition stable stimulus synaptic components synaptic connections temporal threshold tion transition Tritonia values vector visual weights word zero