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» Deconvolution of neuronal signal from hemodynamic response
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ICASSP
2011
IEEE
12 years 9 months ago
Deconvolution of neuronal signal from hemodynamic response
In this paper we describe a deconvolution technique for obtaining an approximation of the neuronal signal from an observed hemodynamic response in fMRI data. Our approach, based o...
Martin Havlicek, Jirí Jan, Milan Brazdil, V...
IPMI
1999
Springer
13 years 9 months ago
Physiologically Oriented Models of the Hemodynamic Response in Functional MRI
Today, most studies of cognitive processes using functional MRI (fMRI) experiments adopt highly flexible stimulation designs, where not only the activation amount but also the tim...
Frithjof Kruggel, D. Yves von Cramon
MICCAI
2005
Springer
14 years 6 months ago
Physiological System Identification with the Kalman Filter in Diffuse Optical Tomography
Abstract. Diffuse optical tomography (DOT) is a noninvasive imaging technology that is sensitive to local concentration changes in oxyand deoxyhemoglobin. When applied to functiona...
Solomon Gilbert Diamond, Theodore J. Huppert, Vill...
NIPS
1996
13 years 6 months ago
Reconstructing Stimulus Velocity from Neuronal Responses in Area MT
We employed a white-noise velocity signal to study the dynamics of the response of single neurons in the cortical area MT to visual motion. Responses were quantified using reverse...
Wyeth Bair, James R. Cavanaugh, J. Anthony Movshon
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
13 years 11 months ago
Eigenvector Algorithms for Blind Deconvolution of MIMO-IIR Systems
— This paper presents eigenvector algorithms (EVAs) for blind deconvolution (BD) of multiple-input multiple-output infinite impulse response (MIMO-IIR) channels (convolutive mix...
Mitsuru Kawamoto, Kiyotaka Kohno, Yujiro Inouye