Abstract
Abstract Current methods of system identification used in analysis of sensory and neuronal systems are presented. The developments of linear and nonlinear system techniques are discussed from an historical perspective. Application examples are summarized from neuronal and synaptic systems. Other uses in visual, mechanoreceptor, auditory, and vestibular sensory systems are presented and discussed. Control theory modeling of the vestibulo-ocular reflex is shown to have advanced with identification techniques, which helped reveal its adaptive control capability. An example of use in clinical diagnostic evaluations is presented
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