title: Population-response model for vibrotactile spatial summation.
abstract: A computational model based on previous physiological and psychophysical data is presented for the human Pacinian (P) psychophysical channel. The model can predict the probability of detection in simple psychophysical tasks, and hence psychometric functions and thresholds. The model simulates stimulating variable and fixed glabrous skin sites with different-sized contactors and includes spatial variation of monkey P-fiber sensitivities. Therefore, it is especially suitable for studying spatial summation, i.e. the improvement of threshold with increasing contactor area. Selective contributions of neural integration (n.i.) and probability summation (p.s.) are also incorporated into the model. Model predictions are compared to psychophysical results of Gescheider et al. (2005). The performance of the model regarding the effects of contactor size is very good. In addition to predicting approximately 3 dB improvement of thresholds when the contactor area is doubled, the model also reveals nonlinear contributions of p.s. and n.i. Furthermore, the model asserts that thresholds are largely governed by neural integration when small contactors are used. These and other findings discussed in the article show that the presented model is a helpful tool for formulating testable hypotheses. Although the model can also simulate some temporal summation effects, simulation results do not conform well to previous data on temporal response properties. Thus, the model needs to be refined in that respect.
authors.affiliation: Biomedical Engineering Institute, Boğaziçi University, Bebek, Istanbul 34342 Turkey. burak.guclu@boun.edu.tr
authors.forename: Burak
authors.initials: B
authors.lastname: Güçlü
authors.forename: George A
authors.initials: GA
authors.lastname: Gescheider
authors.forename: Stanley J
authors.initials: SJ
authors.lastname: Bolanowski
authors.forename: Yorgo
authors.initials: Y
authors.lastname: Istefanopulos
mesh_terms: D002452:Cell Count; D003198:Computer Simulation; D006225:Hand / Q000294:innervation; D006801:Humans; D008432:Mathematical Computing; D008465:Mechanoreceptors / Q000502:physiology; D008962:Models, Theoretical; D009412:Nerve Fibers / Q000502:physiology; D009474:Neurons / Q000502:physiology; D016011:Normal Distribution; D009949:Orientation / Q000502:physiology*; D010141:Pacinian Corpuscles / Q000502:physiology*; D011336:Probability; D011601:Psychophysics; D012684:Sensory Thresholds / Q000502:physiology; D012867:Skin / Q000294:innervation; D009435:Synaptic Transmission / Q000502:physiology*; D014110:Touch / Q000502:physiology*; D014732:Vibration