Reconstruction of Sensory Stimuli Encoded with Integrate-and-Fire Neurons with Random Thresholds. (25th May 2009)

• Record Type: Journal Article
• Authors: Lazar Lazar, Aurel A. Aurel A.; Pnevmatikakis Pnevmatikakis, Eftychios A. Eftychios A.
• Other Names: Principe Principe Jose Jose Academic Editor.
• Is Part Of: EURASIP journal on advances in signal processing. Volume 2009(2009)
• Publication Date: 2009-05-25
• Subjects: Signal processing -- Periodicals; Traitement du signal; Signal processing; Periodicals; 621.3822
• DOI: 10.1155/2009/682930
• Languages: English
• ISSNs: 1687-6172

Abstract

Abstract : We present a general approach to the reconstruction of sensory stimuli encoded with leaky integrate-and-fire neurons with random thresholds. The stimuli are modeled as elements of a Reproducing Kernel Hilbert Space. The reconstruction is based on finding a stimulus that minimizes a regularized quadratic optimality criterion. We discuss in detail the reconstruction of sensory stimuli modeled as absolutely continuous functions as well as stimuli with absolutely continuous first-order derivatives. Reconstruction results are presented for stimuli encoded with single as well as a population of neurons. Examples are given that demonstrate the performance of the reconstruction algorithms as a function of threshold variability.