fMRI studies of visual cortical activity during noise stimulation

Neurocomputing

Volumn 26-27, Issue , 1999, Pages 511-516

  Simonotto, E ^a   Spano, F ^b   Riani, M ^b   Ferrari, A ^c   Levrero, F ^c   Pilot, A ^c   Renzetti, P ^c   Parodi, R C ^c   Sardanelli, F ^c   Vitali, P ^d   Twitty, J ^a   Chiou Tan, F ^e   Moss, F ^a  

^a UNIVERSITY OF MISSOURI ST LOUIS   (United States)

^b INFM   (Italy)

^c UNIVERSITY OF GENOA   (Italy)

^d UNIVERSITY OF GENOA   (Italy)

^e BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

Functional magnetic resonance imaging (fMRI); Noise; Stochastic resonance; Visual cortex

Indexed keywords

BIOELECTRIC POTENTIALS; FUNCTIONAL NEURAL STIMULATION; MATHEMATICAL MODELS; MEDICAL COMPUTING; NEUROPHYSIOLOGY; RANDOM PROCESSES; SIGNAL TO NOISE RATIO;

HUMAN VISUAL SYSTEM; NOISE CONTAMINATED IMAGES; NOISE STIMULATION; STOCHASTIC RESONANCE; VISUAL CORTES;

MAGNETIC RESONANCE IMAGING;

ARTICLE; HUMAN; HUMAN EXPERIMENT; NOISE; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; SIGNAL NOISE RATIO; SIGNAL PROCESSING; VISUAL CORTEX; VISUAL DISCRIMINATION;

EID: 0032851218     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0925-2312(99)00042-9     Document Type: Article

References (14)

1. Adey W.R. Organization of brain tissue: is the brain a noisy processor? Intern. J. Neurosci. 3:1972;271-284.
2. Chiou-Tan F.Y., Magee K.N., Robinson L.R., Nelson M.R., Tuel S.S., Krouskop T.A., Moss F. Enhancement of subthreshold sensory nerve action potentials during muscle tension mediated noise. Intern. J. Bifurc. Chaos. 7:1996;1389-1396.
3. Douglass J.K., Wilkens L., Pantazelou E., Moss F. Noise enhancement of information transfer in crayfish mechanoreceptors by stochastic resonance. Nature. 365:1993;337-340.
4. Friston K.J., Holmes A.P., Worsley K.J., Poline J.P., Frith C.D., Frackowiak R.S.J. Statistical parametric maps in functional imaging: A general linear approach. Human Brain Mapping. 2:1994;189-210.
5. He S., D.I.A. MacLeod Sheng, Contrast-modulation flicker: dynamics and spatial resolution of the light adaptation process. Vision Res. 38:1998;985-1000.
6. Legge G.E., Kersten D., Burgess A.E. Contrast discrimination in noise. J. Opt. Soc. Am. 4:1987;391-404.
7. Levin J.E., Miller J.P. Broadband neural encoding in the cricket cercal sensory system enhanced by stochastic resonance. Nature. 380:1996;165-168.
8. D.G. Pelli, The quantum efficiency of human vision, in: C. Blackemore (Ed.), Vision: Coding and efficiency, Cambridge University Press, Cambridge, NY, 1990, pp. 3-24.
9. Riani M., Simonotto E. Stochastic resonance in the perceptual interpretation of ambiguous figures: a neural network model. Phys. Rev. Lett. 72:1994;3120-3123.
10. Richardson K.A., Imhoff T.T., Grigg P., Collins J.J. Using electrical noise to enhance the ability of humans to detect subthreshold mechanical cutaneous stimuli. Chaos. 8:1998;599-603.
11. Simonotto E., Riani M., Seife C., Roberts M., Twitty J., Moss F. Visual perception of stochastic resonance. Phys. Rev. Lett. 78:1997;1186-1190.
12. Speranza F., Moraglia G., Schneider B.A. Noise-limited detection in young and old observers. Perceptual and Motor Skills. 84:1997;829,830.
13. Tjan B.S., Braje W.L., Legge G.E., Kersten D. Human efficiency for recognizing 3-D objects in luminance noise. Vision Res. 35:1995;3053-3069.
14. Wiesenfeld K., Moss F. Stochastic resonance and the benefits of noise: From the ice ages to crayfish and SQUIDs. Nature. 373:1995;33-36.