Nonlinear Models of Transduction and Adaptation in Locust Photoreceptors

French, Andrew S.; Pece, A. E. C.; Korenberg, Michael J.

doi:10.1007/978-1-4613-9789-2_4

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…Researchers have used Wiener/Volterra kernals for system identification to gain insight into the function and mechanisms underlying various biological systems. For example, orthogonalization techniques for estimating the kernel values have been developed and applied to various sensory systems, such as the catfish retina [15], the visual cortex in the cat [16], the locust and fly photoreceptor [17][18][19] and the cockroach tactile spine [20,21]. Recently, researchers have used neural networks in system identification and modeling of various biological systems, such as insect walking [22], renal autoregulation in rats [23], and locomotor oscillators in lamprey spinal cords [24,25].…”

Section: Introductionmentioning

confidence: 99%

Development of multifunctional materials exhibiting distributed sensing and actuation inspired by fish

Philen

2011

SPIE Proceedings

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This manuscript is an overview of the research that is currently being performed as part of a 2009 NSF Office of Emerging Frontiers in Research and Innnovation (EFRI) grant on BioSensing and BioActuation (BSBA). The objectives of this multi-university collaborative research are to achieve a greater understanding of the hierarchical organization and structure of the sensory, muscular, and control systems of fish, and to develop advanced biologically-inspired material systems having distributed sensing, actuation, and intelligent control. New experimental apparatus have been developed for performing experiments involving live fish and robotic devices, and new bio-inspired haircell sensors and artificial muscles are being developed using carbonaceous nanomaterials, bio-derived molecules, and composite technology. Results demonstrating flow sensing and actuation are presented.

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Section: Introductionmentioning

confidence: 99%

Development of multifunctional materials exhibiting distributed sensing and actuation inspired by fish

Philen

2011

SPIE Proceedings

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2004

Nonlinear Dynamic Modeling of Physiological Systems

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Sensitivity Analysis of Kernel Estimates: Implications in Nonlinear Physiological System Identification

Westwick

Suki

Lutchen

1998

Annals of Biomedical Engineering

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Many techniques have been developed for the estimation of the Volterra/Wiener kernels of nonlinear systems, and have found extensive application in the study of various physiological systems. To date, however, we are not aware of methods for estimating the reliability of these kernels from single data records. In this study, we develop a formal analysis of variance for least-squares based nonlinear system identification algorithms. Expressions are developed for the variance of the estimated kernel coefficients and are used to place confidence bounds around both kernel estimates and output predictions. Specific bounds are developed for two such identification algorithms: Korenberg's fast orthogonal algorithm and the Laguerre expansion technique. Simulations, employing a model representative of the peripheral auditory system, are used to validate the theoretical derivations, and to explore their sensitivity to assumptions regarding the system and data. The simulations show excellent agreement between the variances of kernel coefficients and output predictions as estimated from the results of a single trial compared to the same quantities computed from an ensemble of 1000 Monte Carlo runs. These techniques were validated with white and nonwhite Gaussian inputs and with white Gaussian and nonwhite non-Gaussian measurement noise on the output, provided that the output noise source was independent of the test input.

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Nonlinear Models of Transduction and Adaptation in Locust Photoreceptors

Cited by 3 publications

References 17 publications

Development of multifunctional materials exhibiting distributed sensing and actuation inspired by fish

Development of multifunctional materials exhibiting distributed sensing and actuation inspired by fish

References

Sensitivity Analysis of Kernel Estimates: Implications in Nonlinear Physiological System Identification

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